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Manuscript En01-A@1 · En01-A.tex · 558b972b

Accessible Interference in Recorded Quantum Circuits: Exact Interfaces, Record Architecture, and Collapse-Model Hierarchies

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Proves a channel-interface theorem for finite-dimensional compiled recorded circuits: agreement after a channel is equivalent to vanishing of the image of the difference operator, with maximal bias one half its trace norm. State order is one when two branches coexist. Frauchiger--Renner order two is a question-level statement, not a state classification and not a physical no-go. The agreement family is a down-set of subsystems and is not closed under unions. Continuous-variable records, geometric locality, and higher-order protocols remain unresolved. Landmark I, VII-E, and Em01-A are comparison material, not premises. This is not spacetime emergence and not a gravity-generated entanglement test. No quantum coefficient is admitted. No compilation is asserted. No execution record is claimed.

Front matter

  • abstractAbstractFront matter · lines 602–639
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    We give a self-contained finite-dimensional theory of access to interference in nested-measurement circuits with undisturbed records. Internal recording is coherent copying, and established records are subsequently used only as copy sources or computational-basis controls. For a record set , the discrepancy between a coherent state and its record-dephased model is the traceless Hermitian operator . For every quantum channel , agreement on all available effects is equivalent to , and the maximal probability bias is . Subsystem and algebraic interfaces follow as special cases.

    A branch cross-operator calculus separates perfect-copy screening, residual distinguishability, operator-level cancellation, and question-specific agreement. Pairwise visibility is the fidelity of the inaccessible branch states. This gives exact product laws for independent noisy fragments and all-or-nothing behavior for correlated phase records. Operator-valued Möbius elements distinguish state, interface, and question orders. State and subsystem supports are down-closed; arbitrary channel supports need not be, and every prescribed support family is realizable by a binary measurement channel on a full-support tower. For the symmetric Frauchiger–Renner state, order two belongs to Wigner's question, not to the state.

    We prove sequential agreement on the record-invariant algebra, diamond-norm perturbation bounds, a same-data counterexample to scalar visibility characterizations, and the codimension-two geometry of the complex-amplitude Frauchiger–Renner order-two stratum. The read-chain bias is established for single product effects, while local parity measurements attain the unrestricted bias . Standard hypothesis-testing theorems give a trace-distance Chernoff sandwich and a Pinsker lower bound for the Stein exponent. An embedded, hash-identifiable regression program is supplied without claiming an execution record.

  • figureA question-level order is not a physical no-goFront matter · En01-A@1#fig:scope-En01-A · lines 642–655
    Coherent record copy
    →
    Wigner's measurement channel
    →
    Physical no-go
    Order two at one question is not a physical no-go.

    A question-level order is not a physical no-go. The three boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • figureA question-level order is not a physical no-goFront matter · En01-A@1#fig:split-En01-A · lines 657–668
    Coherent record copy
    Physical no-go
    Order two at one question is not a physical no-go.

    A question-level order is not a physical no-go. Reading downward is not a transfer. Not a proof, and not an admission of a quantum coefficient.

  • figureReading downward is not a transferFront matter · En01-A@1#fig:chain-En01-A · lines 670–681
    Coherent record copy
    ↓
    Wigner's measurement channel
    ↓
    Physical no-go
    Order two at one question is not a physical no-go.

    Reading downward is not a transfer. Not a proof, and not an admission of a quantum coefficient.

  • figureCoherent record copy is not Physical no-goFront matter · En01-A@1#fig:pair-En01-A · lines 683–692
    Coherent record copy
    not the same object
    Physical no-go
    Wigner's measurement channel. Order two at one question is not a physical no-go.

    Coherent record copy is not Physical no-go. Not a proof, and not an admission of a quantum coefficient.

  • figureThree statuses stay separateFront matter · En01-A@1#fig:gate-En01-A · lines 694–704
    Named: Coherent record copy
    →
    Used here: Wigner's measurement channel
    →
    Not claimed: Physical no-go
    Order two at one question is not a physical no-go.

    Three statuses stay separate. Not a proof, and not an admission of a quantum coefficient.

  • sectionFront matterFront matter · lines 704–707
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    Figure fig:scope-En01-A, Figure fig:split-En01-A, Figure fig:chain-En01-A, Figure fig:pair-En01-A, and Figure fig:gate-En01-A name the stop. Not a proof, and not an admission of a quantum coefficient.

Introduction and scope

  • sectionIntroduction and scopeIntroduction and scope · En01-A@1#eq:chain · lines 708–773
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    Nested-observer experiments distinguish two statistical descriptions of the same recorded quantum process: a coherent description of the entire laboratory and a model in which selected records have been dephased. The Frauchiger–Renner experiment is a prominent example FrauchigerRenner2018. The present question is operational: which accessible measurements can distinguish these descriptions?

    This article consolidates the subsystem and channel developments of two earlier drafts DraftSubsystem,DraftChannel. All definitions and proofs needed for the finite-dimensional results are included here. There is no dependence on an unproved companion theorem.

    The organizing chain is

    Its three stages describe interference content, accessible interference, and implementable probability bias, respectively.

    The channel-interface theorem is the standard operational characterization of trace distance, applied to a structured family of state differences. We do not claim a new proof of the Born rule or a new state-discrimination principle. The circuit-specific results concern record anchoring, copy screening, cross-operator cancellation, Möbius localization, and the consequences of restricting the interface.

    Several distinctions are essential.

    1. Internal recording is a coherent isometry, not destructive readout. A nonselective dephasing channel is obtained by discarding a fresh coherent copy.

    2. Agreement of one effect is weaker than agreement of every effect on a subsystem or after a channel.

    3. The copy budget is necessary, not sufficient, for detection. Relative cross-operator phases are not determined by scalar visibilities.

    4. Classicality order is explicitly indexed by the object being tested: state, interface, or question.

    5. Exact vanishing is not generally stable under arbitrary perturbations. Quantitative smallness and thresholded support are stable in the senses proved below.

    and mathematical boundary. The Born rule and the completely positive trace-preserving (CPTP) channel formalism are assumed. The dephased model is a specified statistical comparator, not an additional physical collapse mechanism. The probability calculations for the Frauchiger–Renner state do not reproduce, resolve, or replace the original theorem concerning agents' reasoning assumptions. No claim is made about destructive-primitive uniqueness, quantum field theory, gravitational coefficient admission, or a higher-order protocol calculus.

    The new finite-dimensional statements are proved below. The asymptotic quantum Chernoff and Stein theorems are standard external results, invoked with their assumptions and references in Section sec:testing.

Recorded circuits and the two statistical models

  • sectionRecorded circuits and the two statistical modelsRecorded circuits and the two statistical models · lines 775–789
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    All Hilbert spaces are finite-dimensional. A state is a positive operator of trace one. An effect is an operator . We use

    A finite qubit set has Hilbert space . For , write .

  • sectionThree different recording interfacesRecorded circuits and the two statistical models › Three different recording interfaces · En01-A@1#eq:coherentcopy, En01-A@1#eq:destructive, En01-A@1#eq:nondestructive · lines 790–826
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    For a measured factor , an untouched factor , and a computational basis , coherent recording is the isometry

    It retains and a quantum carrier . It does not make a classical register in the sense of a joint block-diagonal output state.

    By contrast, destructive readout is the channel

    whose output does not contain .

    A represented nondestructive projective instrument has a third output:

    It retains , but its output record is classical. These three maps have different declared outputs and are not identified.

    The circuits studied here use (eq:coherentcopy). The nonselective comparator arises by tracing its additional carrier, not by renaming (eq:coherentcopy) as (eq:destructive).

  • definitionDefinition: Compiled recorded circuitRecorded circuits and the two statistical models › Compiled towers · En01-A@1#def:tower · lines 829–858
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    A compiled tower is a finite event sequence on , initialized in a pure lab state and fresh zero-state ancillas, with evolving pairwise disjoint copy classes , each having a designated root. The admissible events are:

    1. (T1)

      Designation: a qubit outside all classes becomes the root of a new singleton class. This is bookkeeping, not a gate.

    2. (T2)

      Perfect copy: a CNOT from a class member to a fresh ancilla in ; the target is added to the source's class.

    3. (T3)

      Record-controlled processing: a unitary on qubits outside all classes, controlled in the computational basis by class members.

    4. (T4)

      Residual processing: a unitary acting only on qubits outside all classes.

    After designation or copy creation, a class member may appear only as a (T2) source or a (T3) control.

    Write

    The final pure state is , with .

  • sectionCompiled towersRecorded circuits and the two statistical models › Compiled towers · lines 858–872
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    The discipline means that an established record is not edited. It is a restriction on internal gates, not on an external detecting effect. An external reversal circuit is allowed only through an interface containing all factors on which that circuit acts.

    A partition into observer levels may be supplied, but the results depend on the final classes, not on the level names. A record designated at one level and copied once at each of later levels has members. Throughout this paper a -member read-chain contains one root and copying events.

  • theoremTheorem: Branch normal formRecorded circuits and the two statistical models › Compiled towers · En01-A@1#thm:bnf, En01-A@1#eq:bnf · proof attached · lines 873–918
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    Every compiled tower has the form

    For supported branches , define

    Then

    Phases are included in . All subsequent branch sums range over supported branches.

    Proof. Induct on the event sequence. With no designated classes the assertion is immediate. For (T1), expand the residual vector in the computational basis of the new root, creating an additional branch bit. For (T2), a source in class is in branch ; the fresh target becomes another factor . A (T3) gate acts on the residual vector by the unitary selected by . A (T4) gate acts on each residual vector without touching the record factors. These exhaust the allowed events. Distinct branch labels differ on a class carrying orthogonal computational factors, proving orthonormality.

  • sectionPinching, anchoring, and dilationRecorded circuits and the two statistical models › Pinching, anchoring, and dilation · En01-A@1#eq:fixedpinch · lines 920–935
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    For a qubit set , let

    be computational-basis pinching on , with identity factors elsewhere. It is CPTP, idempotent, and Hilbert–Schmidt self-adjoint. For , define the fixed channel

    Thus is defined on all operators, not just tower states.

  • lemmaLemma: Class anchoringRecorded circuits and the two statistical models › Pinching, anchoring, and dilation · En01-A@1#lem:anchor, En01-A@1#eq:anchoring · proof attached · lines 936–959
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    Let , with exactly when . On a tower state,

    In particular, pinching one member of each selected class is sufficient. The equality need not hold on an arbitrary operator outside the tower-supported subspace.

    Proof. On a member , a branch cross term carries . Pinching that member preserves the term precisely when . The number and choice of members pinched within the class are therefore irrelevant on the branch expansion. The condition excludes additional pinching of residual degrees of freedom.

  • definitionDefinition: Coherent and dephased modelsRecorded circuits and the two statistical models › Pinching, anchoring, and dilation · En01-A@1#def:laws, En01-A@1#eq:X · lines 961–977
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    For an effect and , define

    The difference operator is

    It is Hermitian and traceless, and the probability bias of is .

  • propositionProposition: Discarded-copy dilationRecorded circuits and the two statistical models › Pinching, anchoring, and dilation · En01-A@1#prop:deeper · proof attached · lines 979–999
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    Choose one anchor in each class . Let copy those anchors into a fresh register . Then

    Consequently, the dephased model is the coherent Born model of an extended tower when its last copies are inaccessible.

    Proof. For one anchor,

    Tracing the copy yields the factor , hence pinching. Repeat for each anchor and apply Lemma lem:anchor.

  • remarkRemark: What the dilation does and does not showRecorded circuits and the two statistical models › Pinching, anchoring, and dilation · lines 1001–1011
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    The proposition identifies two specified statistical descriptions within the Born formalism. It does not prove that exactly two probability maps are possible under all interpretations or assumptions. Likewise,

    shows that external unitary processing can be absorbed into the effect; it does not constitute a uniqueness theorem for measurement laws.

Exact channel, subsystem, and algebraic interfaces

  • lemmaLemma: Helstrom optimizationExact channel, subsystem, and algebraic interfaces · En01-A@1#lem:helstrom · proof attached · lines 1016–1033
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    For traceless Hermitian ,

    The positive-spectral projector attains the positive maximum.

    Proof. Write , with positive parts of orthogonal supports. Since , . For an effect ,

    Taking attains the upper endpoint.

  • sectionExact channel, subsystem, and algebraic interfacesExact channel, subsystem, and algebraic interfaces · lines 1033–1037
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    This is the standard two-state discrimination optimization Helstrom1976,Watrous2018.

  • lemmaLemma: Hermitian trace-norm contractivityExact channel, subsystem, and algebraic interfaces · En01-A@1#lem:contract · proof attached · lines 1038–1050
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    For a CPTP map and Hermitian , .

    Proof. Positivity and trace preservation give

  • definitionDefinition: Interface channelExact channel, subsystem, and algebraic interfaces · En01-A@1#def:channel · lines 1052–1061
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    An interface channel is a CPTP map . An input effect is available after if it equals for an output effect . Define

  • theoremTheorem: Channel-interface theoremExact channel, subsystem, and algebraic interfaces · En01-A@1#thm:channel, En01-A@1#eq:channelbias · proof attached · lines 1063–1093
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    For a fixed tower, record set , and channel , the following are equivalent:

    1. The coherent and -dephased models agree on every effect available after .

    2. .

    3. .

    Moreover,

    The supremum is attained by .

    Proof. The operator is Hermitian and traceless. For every output effect,

    Apply Lemma lem:helstrom to . The three conditions are equivalent because the resulting maximum vanishes exactly when that operator vanishes.

  • corollaryCorollary: Data processingExact channel, subsystem, and algebraic interfaces · En01-A@1#cor:dp · proof attached · lines 1095–1112
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    For every further CPTP map ,

    Exactly agreeing channels are closed under post-processing. For subsystem interfaces the agreement family

    is a down-set.

    Proof. Use Lemma lem:contract. For , restriction to is a further partial trace after restriction to .

  • corollaryCorollary: Exact subsystem interface theoremExact channel, subsystem, and algebraic interfaces · En01-A@1#thm:interface · proof attached · lines 1114–1132
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    Take . Then

    All effects on agree if and only if . A Helstrom projector on attains the maximum.

    Proof. The available effects after are exactly . Apply Theorem thm:channel.

  • lemmaLemma: Finite-dimensional conditional expectationExact channel, subsystem, and algebraic interfaces · En01-A@1#lem:expectation · proof attached · lines 1134–1165
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    For a unital -subalgebra , the Hilbert–Schmidt orthogonal projection onto is CPTP, unital, and self-adjoint. Hermitian elements of have spectral projectors in .

    Proof. After a unitary change of coordinates, write

    If are the block projectors, then

    Block pinching, partial trace, and replacement by a maximally mixed factor are completely positive. The formula preserves trace and the identity and is the Hilbert–Schmidt orthogonal projection. Spectral projectors belong to by finite-dimensional functional calculus.

  • corollaryCorollary: Exact algebraic interface theoremExact channel, subsystem, and algebraic interfaces · En01-A@1#cor:algebra · proof attached · lines 1167–1183
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    For effects restricted to ,

    All such effects agree if and only if . The corresponding Helstrom projector belongs to .

    Proof. For , self-adjointness gives . The spectral projector is admissible by Lemma lem:expectation. Apply Lemma lem:helstrom.

  • sectionExact channel, subsystem, and algebraic interfacesExact channel, subsystem, and algebraic interfaces · lines 1183–1193
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    For ,

    so the algebraic formula recovers the subsystem formula. Agreeing algebras and subsystems form ordered families; no general closure under joins or unions is asserted.

  • corollaryCorollary: Measurement channelsExact channel, subsystem, and algebraic interfaces · En01-A@1#cor:measurement · proof attached · lines 1194–1216
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    For a POVM , let

    Then

    For the binary POVM , denoted by ,

    Thus a fixed question is itself a particular interface channel.

    Proof. The output difference is diagonal. For the binary case its two entries are and its negative.

  • remarkRemark: Noise in the interfaceExact channel, subsystem, and algebraic interfaces · lines 1218–1225
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    Detector noise and classical post-processing can be included by composition of channels. They cannot increase . This is a contraction statement about the total Hermitian difference; it does not imply that every general branch cross operator is multiplied by one universal scalar damping factor.

  • corollaryCorollary: Record-commuting questionsExact channel, subsystem, and algebraic interfaces · En01-A@1#cor:commutant · proof attached · lines 1227–1236
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    If commutes with every computational record projector defining , then .

    Proof. Such an satisfies . Hilbert–Schmidt self-adjointness of pinching gives .

  • sectionExact channel, subsystem, and algebraic interfacesExact channel, subsystem, and algebraic interfaces · lines 1236–1246
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    For a fixed subsystem, individually agreeing effects form the closed convex slice

    When the reduced difference is nonzero, this is a hyperplane slice of the effect body, not the whole body.

Cross operators, fidelity, screening, and noisy architecture

  • sectionCross operators, fidelity, screening, and noisy architectureCross operators, fidelity, screening, and noisy architecture · lines 1248–1256
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    For distinct branch labels define the difference set

    A pair is -split if . Pairs below are unordered unless an ordering is explicitly displayed.

  • definitionDefinition: Cross operators and visibilityCross operators, fidelity, screening, and noisy architecture · En01-A@1#def:visibility, En01-A@1#eq:cross-expansion · lines 1257–1272
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    For supported , set

    Then

  • lemmaLemma: Variational visibilityCross operators, fidelity, screening, and noisy architecture · En01-A@1#lem:variational · proof attached · lines 1274–1298
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    For every pair,

    Visibility is nondecreasing when is enlarged.

    Proof. For a square matrix , polar decomposition and trace duality give

    Apply this identity to and use the defining property of partial trace. The overlap of two unit vectors has modulus at most one. A unitary on a smaller interface extends by the identity to a larger one, proving monotonicity.

  • sectionCross operators, fidelity, screening, and noisy architectureCross operators, fidelity, screening, and noisy architecture · lines 1298–1304
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    We use the square-root fidelity convention

  • theoremTheorem: Visibility is inaccessible-side fidelityCross operators, fidelity, screening, and noisy architecture · En01-A@1#thm:fidelity, En01-A@1#eq:visibility-fidelity · proof attached · lines 1305–1338
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    For

    one has

    Proof. This is Uhlmann's variational identity Uhlmann1976. For completeness, write Schmidt decompositions

    The overlap optimized in Lemma lem:variational is , where

    Its maximum is . In the respective orthonormal Schmidt bases, the nonzero singular values of are those of the entrywise conjugate of the matrix of . Complex conjugation preserves singular values. Thus the two trace norms coincide.

  • propositionProposition: Perfect-copy screening and doublingCross operators, fidelity, screening, and noisy architecture · En01-A@1#prop:screening · proof attached · lines 1340–1371
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    For a perfect-record tower:

    1. If some has a member outside , then .

    2. If every member of every differing class lies in , then the left and right supports of are orthogonal, and

    Proof. An inaccessible differing member contributes , proving the first assertion. Otherwise, the reduced cross operator retains the differing perfect record factors on . They place its left and right supports in orthogonal computational subspaces. For an operator with , the Hermitian sum has block form

    Its singular values are those of , each occurring twice.

  • theoremTheorem: Visibility envelope and two-branch identityCross operators, fidelity, screening, and noisy architecture · En01-A@1#thm:visibility, En01-A@1#eq:visibility-bound, En01-A@1#eq:two-branch · proof attached · lines 1373–1403
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    For every ,

    If exactly two branches are supported, then

    The equality in the first line uses perfect-record structure.

    Proof. Apply the triangle inequality to (eq:cross-expansion) and use . For two branches, an unsplit pair contributes nothing to . A split pair is either screened, making both sides zero, or has orthogonal supports as in Proposition prop:screening, giving equality.

  • corollaryCorollary: Combinatorial screening and copy budgetCross operators, fidelity, screening, and noisy architecture · En01-A@1#cor:budget · proof attached · lines 1405–1428
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    If every supported -split pair has an inaccessible perfect member of a differing class, then . Conversely, detection requires a supported -split pair satisfying

    In particular,

    The minimum of an empty family is interpreted as .

    Proof. Screening kills every summand of (eq:cross-expansion). If its sum is nonzero, at least one cross operator is nonzero. Proposition prop:screening then forces the stated containment.

  • sectionCross operators, fidelity, screening, and noisy architectureCross operators, fidelity, screening, and noisy architecture · lines 1428–1435
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    The budget is a necessary threshold. Even after it is met, inaccessible residuals may lower visibility or different cross operators may cancel. Section sec:cancellation gives a same-data counterexample to sufficiency.

  • exampleExample: Perfect read-chainCross operators, fidelity, screening, and noisy architecture · En01-A@1#ex:ghz · lines 1436–1455
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    Start with a designated root and make perfect copies. The state is

    For an interface containing class members, every effect has zero bias. At ,

    The projector onto has coherent probability one and dephased probability . Thus the perfect-copy transition is a hard step at the full budget. This is an example at every chain length, not a universal statement that every budget-complete interface has maximal discrepancy.

  • sectionIndependent noisy fragmentsCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · lines 1457–1461
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    Nonorthogonal pointer states are not interchangeable with perfect computational records.

  • definitionDefinition: Independent pointer fragmentCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · En01-A@1#def:fragment · lines 1462–1474
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    A fresh residual fragment may be prepared under control of a perfect record root by

    The fragment is not added to a perfect copy class unless it is actually a computational-basis copy. A product-law assertion additionally assumes that the branch states retain the specified fragment tensor factors.

  • sectionIndependent noisy fragmentsCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · lines 1474–1490
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    The map is an isometry because the source labels are orthogonal. However, a nonorthogonal fragment cannot generally be used as a perfect source that copies its underlying branch bit. For example, an isometry satisfying

    would preserve an input overlap that is nonzero while producing zero output overlap. Thus a noisy-fragment “read-chain” must specify how each fragment is prepared; the independent construction below uses a retained perfect root.

  • propositionProposition: Exact fragment product lawCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · En01-A@1#prop:product-law · proof attached · lines 1491–1519
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    Suppose the inaccessible branch states factorize as

    Then

    In particular, the overlap product alone is an upper bound, and is an equality when the residual fidelity is one.

    Proof. Fidelity is multiplicative under tensor products: both the square root and the trace norm factorize. For pure factors, . Apply Theorem thm:fidelity.

  • corollaryCorollary: Exponential suppression with an accessible rootCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · En01-A@1#cor:noisy · proof attached · lines 1521–1555
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    Consider

    Dephase the perfect root. If contains that root and fragments, then

    For uniform ,

    Complex overlap phases do not change this equality.

    Proof. Tracing the inaccessible fragments yields

    The accessible vectors are orthogonal because retains the perfect root. The Hermitian cross sum therefore has trace norm .

  • sectionIndependent noisy fragmentsCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · lines 1555–1560
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    If the root is inaccessible, exact screening remains. Consequently the expression is not an architecture-free formula for arbitrary choices of accessible qubits.

  • exampleExample: Correlated phase recordsCross operators, fidelity, screening, and noisy architecture › Independent noisy fragments · En01-A@1#ex:secret · lines 1561–1582
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    Let a retained perfect root control the two residual environment states

    Prepare the environment with residual gates, then apply a record-controlled to one fragment. If environment fragments are inaccessible, their two reduced states coincide, so . If all fragments are inaccessible, the two environment states are orthogonal, so . For , the inaccessible environment is the one-dimensional trivial factor.

    This differs sharply from independent redundant fragments. The relationship to environment-based classicalization Zurek2009 is architectural: fidelity measures information in the inaccessible remainder, not merely the number of fragments.

Operator-valued Möbius hierarchy and three orders

  • definitionDefinition: Möbius elementsOperator-valued Möbius hierarchy and three orders · En01-A@1#def:mobius · lines 1587–1597
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    For , define

    One has , and is traceless for nonempty .

  • theoremTheorem: Inversion and operator localizationOperator-valued Möbius hierarchy and three orders · En01-A@1#thm:localization, En01-A@1#eq:localization · proof attached · lines 1599–1635
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    For every ,

    For nonempty ,

    Equivalently,

    Proof. For inversion, interchange the subset sums. The coefficient of is

    which is one when and zero otherwise.

    For localization, the diagonal terms cancel when . A cross term with difference set receives the coefficient

    The product formula follows by expanding the commuting factors.

  • corollaryCorollary: Discrepancy decompositionOperator-valued Möbius hierarchy and three orders · En01-A@1#cor:decomposition · proof attached · lines 1637–1656
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    For every ,

    For a singleton,

    Proof. Subtract the inversion formula from , then apply the triangle inequality.

  • propositionProposition: State interference complexOperator-valued Möbius hierarchy and three orders · En01-A@1#prop:statecomplex · proof attached · lines 1658–1690
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    For nonempty ,

    Moreover,

    Thus the state support, after adjoining the empty face, is the simplicial complex generated by supported branch difference sets.

    Proof. The branch matrix units are Hilbert–Schmidt orthonormal:

    Hence no distinct terms in (eq:localization) cancel globally. The norm formula and support characterization follow. Subset closure is immediate.

  • definitionDefinition: State, interface, and question ordersOperator-valued Möbius hierarchy and three orders · En01-A@1#def:orders · lines 1692–1710
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    Set

    and

    with . The state order is . An interface is fully classical for this hierarchy if its order is infinite.

  • propositionProposition: Orders and adequacyOperator-valued Möbius hierarchy and three orders · En01-A@1#prop:orders · proof attached · lines 1712–1751
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    For every channel and output effect ,

    Post-processing can only increase order and decrease each weight. The state order is one whenever two supported branches coexist, and is infinite otherwise.

    The question order is at least if and only if all dephasings of fewer than records leave its probability unchanged. The corresponding statement holds for interface order with agreement on every output effect.

    Proof. If , then . If , then . Contractivity proves the post-processing statement.

    Any two distinct labels differ on some , and Proposition prop:statecomplex then gives . With one supported branch all nonempty elements vanish.

    Finally,

    Vanishing below size implies adequacy below size . Conversely, induction on recovers the vanishing of the coefficients from adequacy. The operator argument is identical after applying .

  • corollaryCorollary: Questions as hierarchy interfacesOperator-valued Möbius hierarchy and three orders · En01-A@1#cor:question-order · proof attached · lines 1753–1773
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    For a measurement channel,

    For a binary question and nonempty ,

    Proof. Apply the measurement channel to . In the binary case its two diagonal entries are and .

  • sectionSubsystem support is down-closedOperator-valued Möbius hierarchy and three orders › Subsystem support is down-closed · lines 1775–1779
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    The channel hierarchy and the subsystem hierarchy have different combinatorial restrictions.

  • theoremTheorem: Subsystem Möbius supportOperator-valued Möbius hierarchy and three orders › Subsystem support is down-closed · En01-A@1#thm:subsystemsupport · proof attached · lines 1780–1829
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    For a perfect-record tower and fixed subsystem , the family

    is down-closed under nonempty subsets. In particular,

    Proof. For each class meeting , choose an accessible member and let be pinching that member on . If , put . The commute.

    Inspect a branch cross term. If a class has an inaccessible differing member, that term is already zero after partial trace. Every surviving term therefore has the same survival rule under global class pinching and under its selected accessible anchor. A class wholly outside cannot distinguish surviving reduced terms. Thus, for all ,

    Consequently,

    For ,

    If the rightmost argument were zero, the result would be zero. Hence a nonzero -element forces every nonempty subset element to be nonzero. A nonempty support therefore contains a singleton.

  • sectionArbitrary channels can realize arbitrary support familiesOperator-valued Möbius hierarchy and three orders › Arbitrary channels can realize arbitrary support families · lines 1831–1838
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    General channel supports need not be simplicial complexes. The order-two measurement channel in Section sec:fr already supplies a counterexample. In fact, there is no down-closure restriction for unrestricted binary measurement channels.

  • theoremTheorem: Realization of every channel support familyOperator-valued Möbius hierarchy and three orders › Arbitrary channels can realize arbitrary support families · En01-A@1#thm:anysupport · proof attached · lines 1839–1899
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    Fix . There is a full-support compiled tower such that, for every family

    a binary measurement channel satisfies

    Thus every order in is realizable at the question and arbitrary-channel levels.

    Proof. Prepare and designate all qubits. The classes are singleton, every branch is supported, and .

    For each nonempty , define

    where flips precisely the bits in . These are nonzero Hermitian operators with mutually disjoint matrix-unit supports, hence are Hilbert–Schmidt orthogonal. Localization gives

    The Boolean-lattice transformation on nonempty subsets is triangular with nonzero diagonal, so the , , are linearly independent over the reals.

    Their real Gram matrix is therefore positive definite. Set for and otherwise. Choose a Hermitian

    so that . Take with , and put

    This is an effect. Since is traceless for nonempty ,

    Corollary cor:question-order gives the prescribed support. For the empty family, suffices.

  • remarkRemark: Resolved and unresolved combinatoricsOperator-valued Möbius hierarchy and three orders › Arbitrary channels can realize arbitrary support families · lines 1901–1908
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    Down-closure for arbitrary channel support is false, not an open question. Unrestricted support-family realizability is settled by Theorem thm:anysupport. Realizability with a prescribed subsystem, branch support, locality restriction, or implementability class is a different problem and is not settled by that theorem.

Exact operator cancellation with unchanged scalar data

  • exampleExample: Five-qubit phase familyExact operator cancellation with unchanged scalar data · En01-A@1#ex:cancellation, En01-A@1#eq:phasefamily · lines 1913–1940
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    Use qubits , initially zero. Apply:

    then on controlled by , and on controlled by . These are legal compiled events. The classes are

    and the final state is

    Let , , and .

  • propositionProposition: Same visibilities, different discrepancyExact operator cancellation with unchanged scalar data · En01-A@1#prop:cancellation · proof attached · lines 1942–2004
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    For the family (eq:phasefamily),

    The copy classes, branch probabilities, and all pairwise visibilities on are independent of . At , every nonempty Möbius element vanishes on , so that subsystem is fully classical for the hierarchy.

    Proof. Use the normalized branch vectors

    Pairs with different -values are screened by inaccessible . The two surviving split pairs are , and

    Each has trace norm one. Therefore

    Its eigenvalues are .

    On , the two contributions occupy orthogonal -blocks:

    Each block has eigenvalues , giving total discrepancy .

    At , the singleton vanishes on . Every element involving record consists of pairs differing on inaccessible , hence is screened. All nonempty reduced elements therefore vanish.

  • corollaryCorollary: Scalar data do not determine agreementExact operator cancellation with unchanged scalar data · En01-A@1#cor:noscalar · proof attached · lines 2006–2017
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    No function of the copy-class structure, branch probabilities, and pairwise scalar visibilities alone decides whether . The states at and have exactly the same such data on the same interface, but discrepancies and zero.

    Proof. The data equality and discrepancy inequality are Proposition prop:cancellation.

  • sectionExact operator cancellation with unchanged scalar dataExact operator cancellation with unchanged scalar data · lines 2017–2027
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    At , the qubit carries the relative sign of the two surviving cross terms. A Helstrom effect on projects onto

  • corollaryCorollary: Agreement is not union-closedExact operator cancellation with unchanged scalar data · En01-A@1#cor:union · proof attached · lines 2028–2043
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    At ,

    Thus is a down-set but not closed under unions.

    Proof. The first and third values were proved above. On , inaccessible screens every split pair.

  • sectionExact operator cancellation with unchanged scalar dataExact operator cancellation with unchanged scalar data · lines 2043–2056
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    of agreement. Perfect-copy screening is a termwise sufficient certificate. Residual distinguishability changes the norms of surviving terms. Operator cancellation concerns their weighted Hermitian sum. Question-specific agreement concerns the final linear functional , and includes commuting questions as well as cancellation between nonzero scalar contributions. Higher-order Möbius behavior concerns the dependence on record sets. These are useful distinctions, not an exclusive five-way partition: attenuation need not yield exact agreement, and several mechanisms may coexist.

Frauchiger–Renner probabilities and parameter geometry

  • sectionThe real-positive familyFrauchiger–Renner probabilities and parameter geometry › The real-positive family · En01-A@1#eq:fr · lines 2060–2098
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    Designate two lab qubits . A preparation followed by a record-controlled rotation produces

    The record classes may be singleton. Let

    For a pair , define its scalar cross contribution

    Then

  • propositionProposition: FR profile and interface discrepancyFrauchiger–Renner probabilities and parameter geometry › The real-positive family · En01-A@1#prop:frprofile · proof attached · lines 2099–2143
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    At ,

    Consequently,

    but, on the full two-qubit interface,

    Proof. The overlaps with are . Substitution gives the cross contributions and the four probabilities.

    For record ,

    The vectors are orthogonal, with norm product . The nonzero eigenvalues are therefore . The record- calculation is the corresponding exchanged decomposition.

  • theoremTheorem: FR order two is question-levelFrauchiger–Renner probabilities and parameter geometry › The real-positive family · En01-A@1#thm:frorder, En01-A@1#eq:freta1, En01-A@1#eq:freta2, En01-A@1#eq:freta12 · proof attached · lines 2145–2196
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    For positive real amplitudes,

    At the symmetric point,

    with weights

    The order-two assertion is about Wigner's effect or its binary measurement channel, not about the state.

    Proof. Localization gives

    Substitute the overlaps. The state singleton weights equal the discrepancies of Proposition prop:frprofile. The two-record operator contains only the pair , so its half trace norm is . The question weights follow from Corollary cor:question-order.

  • propositionProposition: Non-robust single-record adequacyFrauchiger–Renner probabilities and parameter geometry › The real-positive family · En01-A@1#prop:frrobustness · proof attached · lines 2198–2234
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    On the positive real simplex, friend 's dephasing is adequate for exactly when , and friend 's exactly when . Each condition is codimension one. Their simultaneous satisfaction is the symmetric point, of codimension two in the two-dimensional simplex.

    For

    The two-record coefficient remains nonzero for sufficiently small , although the question order generally changes to one.

    Proof. Use (eq:freta1)–(eq:freta12) and positivity. The square-root difference satisfies

    Multiply by . Continuity preserves the positive two-record coefficient locally.

  • sectionThe real-positive familyFrauchiger–Renner probabilities and parameter geometry › The real-positive family · lines 2234–2240
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    Thus “no single scapegoat” denotes equality of these unconditional probabilities for this question at the symmetric point. It is not the absence of a detectable single-record difference on the same laboratory interface.

  • propositionProposition: Additional copies screen the laboratory questionFrauchiger–Renner probabilities and parameter geometry › The real-positive family · En01-A@1#prop:frcopies · proof attached · lines 2241–2263
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    Add one perfect copy of each record. On the original laboratory interface , all branch cross terms are screened, and Wigner's original effect has coherent probability . On all four qubits, the effect projecting onto

    has coherent probability at the symmetric point.

    Proof. Every differing class has a copy outside the laboratory interface. The reduced state is therefore its record-diagonal mixture. Each supported basis branch has overlap squared with .

    The four-qubit effect has overlaps with the three encoded branches, reproducing the coherent amplitude .

  • sectionComplex amplitudes and the order-two stratumFrauchiger–Renner probabilities and parameter geometry › Complex amplitudes and the order-two stratum · lines 2265–2281
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    Write

  • propositionProposition: Closed formsFrauchiger–Renner probabilities and parameter geometry › Complex amplitudes and the order-two stratum · En01-A@1#prop:frcomplex · proof attached · lines 2282–2302
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    For the same effect ,

    Proof. The three cross contributions are

    Apply the scalar localization identities used above.

  • theoremTheorem: Exact FR order stratificationFrauchiger–Renner probabilities and parameter geometry › Complex amplitudes and the order-two stratum · En01-A@1#thm:frgeometry, En01-A@1#eq:frgraph · proof attached · lines 2304–2365
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    On the positive-amplitude simplex with two phase parameters:

    1. The order-one region is open and dense.

    2. The order-two region is a smooth codimension-two locus. It is real-algebraic with nonvanishing inequalities when expressed in real and imaginary amplitude coordinates. Its intersection with is exactly .

    3. There is no infinite-order point: the three nonempty question coefficients cannot all vanish.

    Proof. Set

    Order two requires

    Since , these equations require to be nonzero and have the same sign. Conversely, on that open phase domain the unique positive normalized solution is

    Thus the order-two set is the smooth graph of amplitudes over an open two-dimensional phase domain, inside the four-dimensional parameter space. Its codimension is two. At zero phases, (eq:frgraph) gives the symmetric point.

    For the algebraic description, write the amplitudes as , , and , with . The two equations become

    with normalization and . These are polynomial equations and inequalities. In angular coordinates the same locus is real-analytic, rather than polynomial in the angles themselves.

    If all three coefficients vanished, would follow. Then . Both phases would be odd multiples of , so . The second coefficient would be nonzero, a contradiction.

    Finally, the order-two locus has empty interior, while the nonvanishing of at least one singleton coefficient defines an open set. The explicit graph description and the absence of an infinite-order point establish density of that open order-one set.

  • sectionComplex amplitudes and the order-two stratumFrauchiger–Renner probabilities and parameter geometry › Complex amplitudes and the order-two stratum · lines 2365–2369
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    No Monte-Carlo observation is needed for the codimension or nonexistence assertions.

Sequential agreement and accessible adaptive sectors

  • definitionDefinition: Sequential dephased executionSequential agreement and accessible adaptive sectors · En01-A@1#def:sequential · lines 2373–2378
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    The sequential execution inserts a nonselective computational pinching immediately after each (T1) designation. All gates are otherwise unchanged. Its final state is .

  • lemmaLemma: Record covarianceSequential agreement and accessible adaptive sectors · En01-A@1#lem:covariance · proof attached · lines 2380–2390
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    After designation of a root , every later compiled gate commutes, as a conjugation channel, with pinching on .

    Proof. A gate touching can only use it as a computational control or a CNOT source, so it is block-diagonal in the basis of . Every other gate acts away from . In either case, conjugation commutes with the pinching.

  • definitionDefinition: Record-invariant algebraSequential agreement and accessible adaptive sectors · En01-A@1#def:invariant · lines 2392–2401
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    Let

    Equivalently, its operators commute with every computational projector on the established record members.

  • theoremTheorem: Exact sequential agreementSequential agreement and accessible adaptive sectors · En01-A@1#thm:sequential · proof attached · lines 2403–2430
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    For every compiled tower,

    For every ,

    The assertion holds at every circuit depth.

    Proof. By Lemma lem:covariance, each root pinching can be moved past all later gates. Pinchings on different roots commute. Their final composition is pinching on all roots, which equals by anchoring.

    For invariant , self-adjointness gives

  • sectionSequential agreement and accessible adaptive sectorsSequential agreement and accessible adaptive sectors · lines 2430–2437
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    Computational readouts of arbitrary register subsets commute with record projectors, as do their classical coarse-grainings. Record-block-diagonal adaptive effects are also covered. This is a statement for each tower, not a claim that adding levels can never change the circuit's ordinary outcome probabilities.

  • corollaryCorollary: Record distributionsSequential agreement and accessible adaptive sectors · En01-A@1#cor:recorddist · proof attached · lines 2438–2449
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    The coherent and sequential executions have the same joint distribution of established record values. Conditional probabilities among those record variables agree whenever the conditioning event has positive probability.

    Proof. Record-value projectors belong to . Their probabilities are by the normal form. Classical conditioning then uses the same joint distribution.

  • sectionSequential agreement and accessible adaptive sectorsSequential agreement and accessible adaptive sectors · lines 2449–2455
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    This corollary concerns record variables. It does not identify every conditional prediction for a later non-record-diagonal interference measurement with a classical conditional.

  • propositionProposition: Flagged adaptive accessSequential agreement and accessible adaptive sectors · En01-A@1#prop:adaptive · proof attached · lines 2456–2496
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    Let be orthogonal sector projectors commuting with , and define

    for . Suppose the interface supplies an accessible orthogonal sector flag:

    where is CPTP on the -sector. Then

    Sector-wise Helstrom effects attain this value. After forgetting the flag, only the upper bound by this sum is guaranteed, and signed sector contributions may cancel.

    Proof. Commutation gives

    Off-diagonal sectors are removed by the flagged interface. Trace norm is additive on orthogonal direct sums, and the resulting blocks are traceless. Assemble the positive-spectral projectors blockwise. Forgetting the flag is CPTP post-processing, so Corollary cor:dp gives the upper bound. Without the flag, the block effects need not be separately implementable.

Robustness and the instability of exact order

  • sectionRobustness and the instability of exact orderRobustness and the instability of exact order · lines 2499–2506
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    For a linear map , let denote the completely bounded trace norm. The same fixed channels (eq:fixedpinch) are used for ideal and perturbed states. Anchoring is not assumed off the ideal tower state.

  • lemmaLemma: Telescoping state errorRobustness and the instability of exact order · En01-A@1#lem:telescope · proof attached · lines 2507–2535
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    Let

    where all maps are CPTP and

    Then

    Proof. Expand the difference of the compositions as a telescoping sum, using ideal maps before the differing factor and perturbed maps after it. The differing factor contributes at most in trace norm. Subsequent CPTP maps contract the Hermitian difference. Sum the bounds.

  • theoremTheorem: Discrepancy stabilityRobustness and the instability of exact order · En01-A@1#thm:robustness · proof attached · lines 2537–2566
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    For a fixed interface ,

    Thus ideal exact agreement implies perturbed discrepancy at most , and an ideal discrepancy larger than remains nonzero.

    Proof. Put . The reverse triangle inequality and contractivity give

    Apply Lemma lem:telescope.

  • corollaryCorollary: Möbius-weight stabilityRobustness and the instability of exact order · En01-A@1#cor:weightstability · proof attached · lines 2568–2584
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    For nonempty ,

    A nonzero weight larger than this bound remains nonzero. An ideal zero weight becomes at most this bound.

    Proof. The change in is a signed sum of pinched copies of . Each has trace norm at most . Apply the triangle inequality, , and the prefactor .

  • remarkRemark: Exact order is not generally stableRobustness and the instability of exact order · lines 2586–2601
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    The weight bound does not preserve exact classicality order. Arbitrarily small perturbations can create nonzero singleton weights where exact cancellation previously gave zero. The FR perturbation in Proposition prop:frrobustness is an explicit example.

    For thresholds , membership in

    is preserved whenever the ideal distance from each threshold exceeds . Exact order can instead be preserved under additional restrictions that enforce the lower-order zeros exactly.

  • propositionProposition: Additional interface errorRobustness and the instability of exact order · En01-A@1#prop:interfaceerror · proof attached · lines 2603–2623
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    If , then

    Combining state and interface perturbations yields

    Proof. Use the reverse triangle inequality and the diamond-norm bound on . Since is a difference of states, . For the combined statement, first change the state at fixed , then change the interface at fixed ideal state.

Implementability constraints and accessibility hypergraphs

  • definitionDefinition: Restricted implementable biasImplementability constraints and accessibility hypergraphs · En01-A@1#def:cost · lines 2628–2639
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    For a class of output effects,

    The quantity is monotone under enlargement of . A data-processing comparison with restricted effects requires a specified pullback relation between the two implementability classes.

  • sectionImplementability constraints and accessibility hypergraphsImplementability constraints and accessibility hypergraphs · lines 2639–2650
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    If

    for an affine Hermitian-matrix-valued map , the restricted bias is the larger optimum of two semidefinite programs with objectives . Convexity alone does not imply that an arbitrary effect class has an exact semidefinite representation.

  • theoremTheorem: Single-product-effect read-chain biasImplementability constraints and accessibility hypergraphs · En01-A@1#thm:productgap · proof attached · lines 2651–2684
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    For the -member GHZ read-chain at full access, let

    Then

    Proof. Here

    so a product effect has bias

    For a two-dimensional effect, the eigenvalue gap is at most one. Writing it as , this gap is , hence . The bias is therefore at most . Taking every attains it. The unrestricted value follows from the two eigenvalues of .

  • propositionProposition: Local parity attains the unrestricted valueImplementability constraints and accessibility hypergraphs · En01-A@1#prop:parity · proof attached · lines 2686–2706
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    The effect

    is implementable by measuring each qubit in the -basis and accepting the even-parity outcomes. It has bias . Thus the exponential bound in Theorem thm:productgap is not a limitation on general product POVMs, separable effects, or local measurements with classical post-processing.

    Proof. The even-parity effect is the sum of the corresponding tensor-product -basis projectors, so it has the stated local implementation. The coherent GHZ state has -expectation one. Its record-dephased mixture has expectation zero. Their acceptance probabilities are therefore one and .

  • definitionDefinition: Accessibility hypergraphImplementability constraints and accessibility hypergraphs › The perfect-copy hypergraph · En01-A@1#def:hypergraph · lines 2710–2718
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    For each supported -split pair , define

    The hypergraph has vertex set and these labelled hyperedges. Visibility is evaluated at an interface ; it is not a fixed interface-independent edge weight.

  • propositionProposition: Covering and a conditional tight budgetImplementability constraints and accessibility hypergraphs › The perfect-copy hypergraph · En01-A@1#prop:covering · proof attached · lines 2720–2739
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    Detection requires for some split pair. If minimizes edge size, has , and is the unique split pair whose edge is contained in , then

    Under these hypotheses the minimal edge-size lower bound is attained.

    Proof. The necessity is Corollary cor:budget. At , all other split pairs are screened. The surviving pair has orthogonal record supports, so Proposition prop:screening gives the displayed equality.

  • sectionThe perfect-copy hypergraphImplementability constraints and accessibility hypergraphs › The perfect-copy hypergraph · lines 2739–2743
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    The uniqueness hypothesis cannot be omitted: the two surviving pairs in Example ex:cancellation share their minimal edge and cancel.

  • propositionProposition: Copy-certified screening is a hitting-set conditionImplementability constraints and accessibility hypergraphs › The perfect-copy hypergraph · En01-A@1#prop:hitting · proof attached · lines 2744–2765
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    For a deleted set , the perfect-copy certificate screens every split pair exactly when

    Thus minimum copy-certified screening sets are minimum hitting sets of the hypergraph. This equivalence concerns the copy certificate, not every possible reason for a reduced cross operator to vanish.

    Proof. The intersection condition says precisely that each pair has a deleted perfect member of a differing class. Apply Proposition prop:screening. If the intersection condition fails, that particular copy certificate does not screen the unhit pair, although residual distinguishability may still do so.

  • sectionThe perfect-copy hypergraphImplementability constraints and accessibility hypergraphs › The perfect-copy hypergraph · lines 2765–2777
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    The computable visibility envelope is

    It is not an exact formula when several terms survive. No claim of fixed-parameter tractability in edge size alone is needed or made.

Statistical detection through a fixed interface

  • sectionStatistical detection through a fixed interfaceStatistical detection through a fixed interface · lines 2779–2790
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    Fix a tower, record set, and channel, and write

    All logarithms in this section are natural.

  • lemmaLemma: Pinching dominationStatistical detection through a fixed interface · En01-A@1#lem:domination · proof attached · lines 2791–2841
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    Let be the number of record- sectors with nonzero weight in . Then and

    Consequently,

    Proof. Write in orthogonal record sectors. For every vector , Cauchy–Schwarz gives

    which is the first operator inequality. A positive channel preserves it.

    For ,

    for a state , so . For , the states coincide. The support inclusion also follows from domination.

    Operator monotonicity of the logarithm, with a positive regularization and then a limit on the support of , gives

    This proves the relative-entropy bound. The underlying pinching inequality is standard OgawaHayashi2002.

  • theoremTheorem: Single-copy and asymptotic detectionStatistical detection through a fixed interface · En01-A@1#thm:testing, En01-A@1#eq:chernoff, En01-A@1#eq:stein · proof attached · lines 2843–2912
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    For independent identically prepared outputs of the fixed interface:

    1. With equal priors, the optimal single-copy success probability is .

    2. The optimal symmetric error exponent is

      with endpoint powers interpreted as support projections. It satisfies

    3. At fixed type-I error in , the Stein exponent, with as the null state, is , and

    Thus the two models are distinguishable at a positive exponential rate through this interface if and only if . The Chernoff exponent has a two-sided bound using alone; the Stein upper bound requires additional information, here the pinching-sector count.

    Proof. The first assertion is Helstrom optimization.

    The quantum Chernoff theorem identifies the symmetric exponent Audenaert2007,NussbaumSzkola2009. Put . The standard trace inequality used in its proof gives . Also,

    where the last inequality is Fuchs–van de Graaf FvdG1999. Taking negative logarithms proves (eq:chernoff).

    The quantum Stein theorem gives the asymmetric exponent HiaiPetz1991,OgawaNagaoka2000. Quantum Pinsker gives Watrous2018. Lemma lem:domination gives the upper bound and ensures the required support inclusion. If , the output states are identical at every sample size. If , the lower bounds are positive.

  • remarkRemark: Why no universal Stein upper bound follows from trace distance aloneStatistical detection through a fixed interface · En01-A@1#rem:stein-upper · lines 2914–2941
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    Consider pinching-related output states

    where . They can be obtained from a pure recorded preparation by making the sector flag classical at the interface. Their values are

    For fixed , choose for sufficiently large . The trace distance is exactly , while relative entropy grows without bound. One may take to be powers of two to realize the example using qubit registers.

  • exampleExample: Exact FR exponentsStatistical detection through a fixed interface · En01-A@1#ex:fr-exponents · lines 2943–2966
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    At the symmetric point, dephasing record gives two orthogonal pure sectors of weights and . The coherent state is pure. Therefore

    and

    The Chernoff minimum occurs at the support-projection endpoint.

  • corollaryCorollary: Robust detection certificateStatistical detection through a fixed interface · En01-A@1#cor:robusttest · proof attached · lines 2968–2989
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    If the ideal discrepancy is and the combined state/interface error bound is , then certifies

    An exactly agreeing actual interface transmits no statistical distinction at any sample size. Ideal agreement alone, followed by implementation error, instead gives only an upper bound on the actual discrepancy; small leakage can still be detected with enough samples.

    Proof. The actual discrepancy is at least by Theorem thm:robustness and Proposition prop:interfaceerror. Apply the increasing lower-bound function in (eq:chernoff). Exact actual agreement means equality of the output states.

Discussion and dependency boundary

  • sectionDiscussion and dependency boundaryDiscussion and dependency boundary · lines 2991–3049
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    The operator is the exact difference between two specified statistical models. A channel transmits that difference as , and an implementability class selects which linear functionals can test it. This separation prevents several otherwise tempting identifications.

    The perfect-copy budget is a syntactic lower bound, not a complete accessibility criterion. Fidelity measures residual branch distinguishability. Scalar visibility does not retain the relative phases needed to decide operator cancellation. Agreement on one question can conceal a large discrepancy on the same subsystem.

    The Möbius hierarchy makes the location of higher-order behavior precise. The coherent state is order one whenever more than one record branch is supported. Perfect-record subsystem interfaces likewise have order one or infinity. Higher finite orders arise through more restrictive channels, including binary measurement channels. For the FR example, the value is the two-record weight of Wigner's question at the symmetric point, not a state-level classification and not a new physical no-go theorem.

    The distinction between a single product conjunction and a product measurement with classical processing is equally important. An exponentially small conjunction probability bias does not imply an exponential obstacle to a local parity witness. Additional experimental restrictions must therefore be stated as an actual effect or protocol class, not inferred from the word “unentangled.”

    to supplied landmark terminology. The comparison record accompanying the earlier drafts refers to Landmark I, VII-E, and Em01-A. None is a formal premise here. The typed record equation described for Landmark I concerns uniqueness of a destructive primitive in its specified strategy class; it is not the copying-and-discarding identity of Proposition prop:deeper, and is not used as a physical Frauchiger–Renner no-go. The three recording interfaces distinguished in the supplied VII-E description are kept separate in (eq:coherentcopy)–(eq:nondestructive). The supplied Em01-A witness-to-graph non-implication concerns a different distributional construction, not the finite-dimensional cancellation of Section sec:cancellation.

    Likewise, the down-set in Corollary cor:union is a family of subsystems for fixed . It is not a family of authorized characteristic extensions, a declared gravitational path, or an admission condition in another manuscript. No theorem transports the results of this paper to those objects. The supplied landmark summaries are comparison material, not a verification of their full source manuscripts.

  • sectionDiscussion and dependency boundaryDiscussion and dependency boundary · lines 3049–3066
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    problems. The unrestricted channel-support question is not left open: Theorem thm:anysupport realizes every support family. Remaining restrictions worth studying include subsystem realizability with prescribed branch support, geometric locality, and resource constraints. Continuous-variable and thermodynamic records require an infinite-dimensional domain and convergence theory absent here. Higher-order protocols require an explicit higher-order type and composition system, rather than being obtained by renaming a CPTP access channel. No result in the supplied distributional or gravitational comparison material supplies these missing structures.

Reproducible numerical checks and execution status

  • sectionReproducible numerical checks and execution statusReproducible numerical checks and execution status · lines 3068–3075
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    The proofs above are analytic. The program embedded in this source checks the listed examples and several finite-dimensional identities. It is a regression artifact, not an exhaustive proof and not a formal machine verification.

  • sectionArtifact, hashes, and statusReproducible numerical checks and execution status › Artifact, hashes, and status · lines 3076–3106
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    This single .tex input writes En01-A-check.py during pdfLaTeX compilation, without shell escape. The exact generated script is printed in Section app:script.

    The artifact's build-computed MD5 identifier is:

    fileEn01-A-check.py

    This identifier fingerprints the generated bytes in the compiled document; MD5 is not used as a security guarantee.

    A successful Python execution computes the script's SHA-256 and writes En01-A-run.json. The manifest records the digest, environment versions, UTC execution time, fixed seed, tolerances, and completion of that local invocation. The SHA-256 line is intentionally not replaced by a fabricated digest or an unrecorded execution claim.

    status of this source. No execution of the regression program and no pdfLaTeX compilation is claimed by the source as supplied. The output below is a specified expected output, derived from the proved closed forms. A submission accompanied by an execution record should include the generated manifest and captured standard output from the actual run.

    .

  • listingListing: ListingReproducible numerical checks and execution status › Artifact, hashes, and status · lines 3107–3111
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    pdflatex En01-A.tex
    pdflatex En01-A.tex
    python En01-A-check.py
  • sectionArtifact, hashes, and statusReproducible numerical checks and execution status › Artifact, hashes, and status · lines 3111–3115
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    Python requires NumPy. The numerical appendix uses tolerance for deterministic golden values and for the fixed-seed random matrix checks.

  • sectionGolden valuesReproducible numerical checks and execution status › Golden values · lines 3116–3151
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    CheckAnalytic value
    Four-member perfect read-chainDiscrepancies at accessible sizes .
    Independent fragments, , root retainedDiscrepancies .
    FR profile for .
    FR state Möbius weights.
    FR binary-question weights.
    Same-data phase family at , zero at , and .
    Three-fragment GHZ-phase environmentVisibility with inaccessible fragments.
    Single product effectBias for chain sizes .
    Local parity effectBias for each of those sizes.
    FR symmetric exponentsChernoff ; Stein .
  • sectionSpecified expected outputReproducible numerical checks and execution status › Specified expected output · lines 3152–3155
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    The checksum and environment-dependent manifest lines follow these fixed lines:

  • listingListing: ListingReproducible numerical checks and execution status › Specified expected output · lines 3156–3170
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    GHZ: [0.000000, 0.000000, 0.000000, 0.500000]
    NOISY: [0.062500, 0.125000, 0.250000, 0.500000]
    FR_PROFILE: [0.083333, 0.083333, 0.083333, 0.250000]
    FR_STATE_WEIGHTS: [0.471405, 0.471405, 0.333333]
    FR_QUESTION_WEIGHTS: [0.000000, 0.000000, 0.166667]
    CANCELLATION: [0.500000, 0.000000, 0.500000]
    SECRET: [1.000000, 1.000000, 1.000000, 0.000000]
    PRODUCT_EFFECT: [0.500000, 0.250000, 0.125000, 0.062500]
    LOCAL_PARITY: [0.500000, 0.500000, 0.500000, 0.500000]
    FR_CHERNOFF: 0.587787
    FR_STEIN: 0.636514
    STRUCTURAL_CHECKS: PASS
    ALL CHECKS PASSED
  • sectionSpecified expected outputReproducible numerical checks and execution status › Specified expected output · lines 3170–3180
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    The structural assertions include inversion, Helstrom saturation for fixed-seed random channels, data processing, the visibility–fidelity identity, subsystem support down-closure, all eight binary-channel support families on two records, a nonsymmetric complex-amplitude order-two FR point, sequential agreement, and one explicit gate-error bound. These are finite tests of the written theorems, not evidence that every possible circuit has been enumerated.

Assumption and correction checklist

  • sectionAssumption and correction checklistAssumption and correction checklist · lines 3185–3219
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    For clarity, the following boundaries are part of the statements in this consolidated version.

    1. Class anchoring pinches only record members and is a statement about tower-supported states, not arbitrary off-model states.

    2. The two-branch discrepancy identity contains the -split condition.

    3. Nonorthogonal pointer fragments are not treated as perfect classical controls or as perfect copy sources.

    4. Depth conventions count one root and subsequent copies in a -member chain.

    5. The cancellation comparison uses the same circuit architecture, probabilities, interface, and pairwise visibilities at two phases.

    6. FR order two is a question-level or binary-channel statement.

    7. Individual positive-real FR adequacy conditions have codimension one; simultaneous adequacy has codimension two. The complex order-two locus is proved through an explicit graph.

    8. Arbitrary channel Möbius supports need not be down-closed. Perfect-record subsystem supports are down-closed.

    9. Exact zeros and exact order are not inferred to survive generic small errors.

    10. The product-effect bound is not a bound on local measurements with classical parity processing.

    11. The hitting-set equivalence refers to perfect-copy certificates, not all sources of termwise or operator-level agreement.

    12. The Stein exponent is not assigned a universal upper bound from trace distance alone.

    13. Ideal screening with implementation error is approximate screening, not statistical impossibility at all sample sizes.

    14. No numerical execution, hash manifest, or compiler run is claimed without an actual record.

  • bibliographyReferencesAssumption and correction checklist · lines 3220–3307
    Open as its own page

    DraftSubsystem

    N. Cheung, Observer-Relative Interference in Reflection Towers: An Exact Accessibility Theory via Reduced Difference Operators, unpublished author-supplied draft, 085WvGp1_2 (1).tex. Consolidated and revised in the present article.

    DraftChannel

    N. Cheung, Accessible Interference in Nested Quantum Measurements: Channel Interfaces, Operator-Valued Möbius Hierarchies, and Robust Classicalization, unpublished author-supplied draft, 085WvGp3v2 (1).tex. Consolidated and revised in the present article.

    FrauchigerRenner2018

    D. Frauchiger and R. Renner, Quantum theory cannot consistently describe the use of itself, Nature Communications 9, 3711 (2018). doi:10.1038/s41467-018-05739-8.

    Helstrom1976

    C. W. Helstrom, Quantum Detection and Estimation Theory, Academic Press, New York (1976).

    Watrous2018

    J. Watrous, The Theory of Quantum Information, Cambridge University Press, Cambridge (2018).

    Uhlmann1976

    A. Uhlmann, {The “transition probability” in the state space of a -algebra}, Reports on Mathematical Physics 9, 273–279 (1976). doi:10.1016/0034-4877(76)90060-4.

    FvdG1999

    C. A. Fuchs and J. van de Graaf, Cryptographic distinguishability measures for quantum-mechanical states, IEEE Transactions on Information Theory 45, 1216–1227 (1999). doi:10.1109/18.761271.

    Zurek2009

    W. H. Zurek, Quantum Darwinism, Nature Physics 5, 181–188 (2009). doi:10.1038/nphys1202.

    Audenaert2007

    K. M. R. Audenaert, J. Calsamiglia, R. Muñoz-Tapia, E. Bagan, Ll. Masanes, A. Acín, and F. Verstraete, Discriminating states: the quantum Chernoff bound, Physical Review Letters 98, 160501 (2007). doi:10.1103/PhysRevLett.98.160501.

    NussbaumSzkola2009

    M. Nussbaum and A. Szkoła, The Chernoff lower bound for symmetric quantum hypothesis testing, Annals of Statistics 37, 1040–1057 (2009). doi:10.1214/08-AOS593.

    HiaiPetz1991

    F. Hiai and D. Petz, The proper formula for relative entropy and its asymptotics in quantum probability, Communications in Mathematical Physics 143, 99–114 (1991).

    OgawaNagaoka2000

    T. Ogawa and H. Nagaoka, Strong converse and Stein's lemma in quantum hypothesis testing, IEEE Transactions on Information Theory 46, 2428–2433 (2000).

    OgawaHayashi2002

    T. Ogawa and M. Hayashi, On error exponents in quantum hypothesis testing, IEEE Transactions on Information Theory 50, 1368–1372 (2004). The pinching-based direct proof is also given in the authors' preprint A New Proof of the Direct Part of Stein's Lemma in Quantum Hypothesis Testing, arXiv:quant-ph/0110125 (2001).