Research paperScreenedARR-2026-5KS70GV7KK9DYA69 · v1 · 2026-08-14

Two-Query Chirality in Tetrahedral Quantum Echoes: Exact Parallel Readout, a Nine-Dimensional Query Defect, and a Certified Adaptive Advantage

Lluis Eriksson

Admitted after checks by named AI models and editor approval. Not peer reviewed. Screening record

Abstract

Four balanced Pauli kicks along the vertices of a regular tetrahedron, followed by their reverse echo, generate 24 order-labelled qubit unitary channels. The words share a trace and form two 12-element orbits of the proper tetrahedral group. One query sees only their common trace. At two queries, orbit-dependent quadratic energies yield closed formulas for the Bell-square and globally optimized parallel strategies. At the algebraic point q=1/2, every causally ordered two-query protocol has success at most 9/24 because the fixed trace removes one dimension from the universal quadratic query space. An explicit rational two-comb normalization, a six-Kraus realization, and an exact weighted-frame identity attain the cap, giving P_causal=3/8 and P_parallel=(5+sqrt(15))/24. A uniform Lipschitz estimate proves that the same causal tester remains strictly better on an explicit open pulse interval. The result is an analytic adaptive advantage for a concrete non-group ensemble. It does not address indefinite causal order, noise, finite statistics, or arbitrary qubit ensembles. The central causal certificate is replayed exactly in quotient-ring arithmetic; the supplied word/collision and representation scripts are mixed symbolic-numerical corroborating audits.

Preview PDF on this page v1

Uses your browser's PDF viewer. Open the PDF directly if a preview is unavailable.

Reference this work

Cite this paper

v1 · 2026-08-14

Lluis Eriksson (2026). Two-Query Chirality in Tetrahedral Quantum Echoes: Exact Parallel Readout, a Nine-Dimensional Query Defect, and a Certified Adaptive Advantage. AIRR.SCIENCE, ARR-2026-5KS70GV7KK9DYA69, v1. https://airr.science/papers/ARR-2026-5KS70GV7KK9DYA69/versions/v1/

Use this version link to cite the manuscript you read. A Working paper label means the version has not completed AIRR screening. AIRR screening is not journal peer review. Import BibTeX, RIS or CSL JSON into your reference manager to apply a citation style.

Version history

The paper identifier remains stable. Each version has its own immutable release, timestamp and version identifier.

  • v1 · source snapshot available · viewing

Verification record

Frontier-model screening
Not assessed
Source integrity
Pass
Bibliographic integrity
Not assessed
Reproducibility
Partial
Lean 4
Not applicable

Recorded under ARR-VERIFY-1.0. AIRR verification and screening are not peer review.

AI assistance statement

OpenAI Codex assisted with symbolic exploration, literature triage, proof stress testing, code drafting, manuscript editing, release preparation, machine-readable extraction, and AIRR deposit checks. The author selected and reviewed the claims, assumptions, proofs, citations, and executable evidence and remains responsible for the final work. AI output is not treated as independent scientific evidence.

Frontier-model screening

Status: not_assessed. Any listed reports correspond to this exact version under ARR-SCREEN-1.0; no absent assessment is represented as a pass.

    Longitudinal frontier-model record

    Model assessments and review context

    Read the scale and limits
    4.54 / 10.00Very good
    Distinct models
    2
    Range
    4.35–4.60
    Method
    bounded capability-weighted mean · exact version only

    Limited evidence · 1/2 benchmark matches. This is an evidence description, not a probability of correctness.

    One provider; shared blind spots possible; Fresh blinded review context not documented for every model; Benchmark match incomplete; Adverse reports or unresolved objections require editorial disposition

    Score calculation and evidence

    Unweighted mean: 4.47. Policy: AIRR-RATING-1.0. Method and limits.

    ModelOriginal scoreWeightBasis
    OpenAI · gpt-6-astra4.602.904Exact evidenced model and effort
    OpenAI · gpt-5.6-sol4.351.000No evidenced exact benchmark configuration

    Download the calculation snapshot

    OpenAI · gpt-5.6-sol · High · unknown · review context: unknown4.35

    Recommendation: Minor Revision · Material objections: 0

    For this exact twelve-page PDF, the core result survives adversarial checking: fixed trace removes one quadratic direction, giving a nine-dimensional cap, and the explicit positive comb plus KCK=K identity attains 3/8 at q=1/2, strictly above the independently recovered global-parallel value. The principal limitations are expository and reproducibility-related rather than a found counterexample: the all-pulse primal attainment reduction is compressed, collision completeness is not machine-exact in the supplied replay, and the release helper cannot run from the provided file layout.

    Correctness confidence
    The common-trace orbit calculation, nine-dimensional support bound, and exact q=1/2 scalable-frame certificate are internally consistent. All three supplied scientific programs passed; a separate implementation recovered rank nine and the strict 0.005292360574691 parallel-to-causal gap.
    Rigor
    The causal upper bound and its exact attaining comb are unusually explicit. The all-pulse Bell-square and global-parallel optima rely on a terse isotypic primal-dual reduction, and collision completeness is described more exactly in prose than in the floating-point public replay.
    Novelty
    An exact analytic adaptive advantage for this non-group 24-channel family, with a rational comb saturating a family-specific rank defect, is a strong novelty candidate. Prior work already establishes sequential advantages in non-group discrimination, so the novelty is the closed family and certificate, not the general phenomenon.
    Significance
    The paper gives a transparent mechanism by which two-query chirality and coherent memory beat every parallel strategy, plus a certified open interval. Its scope is deliberately narrow: noiseless, known finite channels, two uses, and no indefinite causal order.
    Reproducibility
    The word/collision, representation, and exact quotient-field causal checks all ran successfully with pinned SymPy and NumPy. However, the supplied README names a nonexistent verification subdirectory, and package_release.py fails immediately because its compiled-PDF and other release inputs are absent.

    Strengths

    • Theorem 6.1 uses only purification and bilinearity in two uses of the unknown qubit unitary to place every causal output in a fixed linear image of a 1+3+5 dimensional feature space, yielding the clean 9/24 cap.
    • Equations (12)-(16) provide a constructive deterministic comb, exact spectrum and partial trace, positive orbit weights, and an exact scalable-frame identity; the quotient-field program rechecked all 24 states and the full KCK=K relation.
    • Theorem 5.1 optimizes arbitrary parallel inputs including retained references by a symmetry-complete singlet/triplet marginal, and the q=1/2 solution shows explicitly why two Bell pairs are suboptimal.
    • Corollary 7.3 turns the point separation into an open pulse interval using a uniform derivative bound, and the manuscript clearly distinguishes ordinary causal memory from indefinite causal order.

    Weaknesses

    • Theorem 4.2 says the covariant seed operators satisfy primal completeness, but the appendix supplies only the block table and scalar reduction rather than explicit seed matrices for general pulse z; a reader must reconstruct the representation-theoretic SDP details.
    • The collision-completeness appendix invokes Sturm isolation and exact filtering, whereas the supplied word audit uses nroots and numerical tolerance for the final physical roots and class grouping. This leaves the exact table less reproducible than the central causal certificate.
    • The public layout does not match README_SUPPLIED.md: the scripts are in src/replay rather than verification, and the claimed manuscript source, bibliography, claim ledger, submission sheet, and compiled source PDF are not included at the paths required by package_release.py.
    • The literature check confirms that sequential advantage outside group ensembles was already known; the paper's priority claim therefore depends on its architecture-specific exact synthesis, for which no exhaustive search was performed.

    Potential errors

    • The all-pulse Bell-square optimum depends on reducing the compound geometrically uniform discrimination SDP to one orbit weight and blockwise scalar domination. The displayed argument is plausible, but I did not independently reconstruct every attaining primal operator beyond the q=1/2 numerical fixture.
    • The collision table's exact completeness cannot be inferred from the executed tolerance-based classifier alone. A missed near-multiple eliminant root would affect the generic-distinctness claim, although the adaptive optimum at the isolated q=1/2 point is separately certified.
    • The README's replay commands and package helper cannot be followed literally on the supplied tree. This is a release-integrity error, not a mathematical counterexample to Theorem 7.2.

    Strong novelty candidates

    • The exact global parallel formula for all pulses after optimization over arbitrary ancillary inputs, including the non-Bell optimum at q=1/2.
    • The fixed-trace nine-dimensional causal query defect and its exact saturation by a rational deterministic comb with positive chiral orbit weights.
    • The closed-form strict adaptive-versus-parallel separation for a concrete non-group unitary ensemble, extended to an explicit open pulse interval.

    Unresolved material objections

    None reported.

    arr:assessment:9da39439-df32-4bb3-bc09-7618db1fc1ed · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-5.6-sol · reasoning effort: high · basis: operator verified ui · evidence SHA-256 37d17d7e51a753930c57098f81a8ebbe52ca287355c85a14862f0e55603e53c1 · response SHA-256 14aa5b3c5c93b04c3dabad1398c4febd3e62838c1937ba9ba0a05f2a7084bb9a · canonical PDF SHA-256 bb1e9ccc4176c73834a5d8dd6c91ac0cf91d20c7f4b5d74016d89cc82d108863

    OpenAI · gpt-6-astra · High · unknown · review context: unknown4.60

    Recommendation: Minor Revision · Material objections: 0

    This exact 12-page PDF contains a substantive, largely correct analytic discrimination example. The nine-dimensional support bound and exact rational-comb certificate support the causal optimum 3/8, while the optimized parallel value is corroborated by full-state primal/dual checks. I independently verified both energy identities and all pairwise collision factors. Required corrections concern the false zero-pulse tightness statement, omitted details in the all-pulse dual/primal presentation, and incomplete release packaging. No unresolved objection presently invalidates the principal separation theorem; finite diagnostics are not an all-pulse proof. The score measures this bounded contribution, not an editorial decision or a Millennium-problem solution.

    Correctness confidence
    Theorems 5.1, 6.1 and 7.2 survived algebraic review; the exact causal replay passed. Independent full-state primal/dual witnesses agree at 21 settings. Proposition 4.1 nevertheless has a zero-pulse counterexample to its unqualified tightness assertion.
    Rigor
    The fixed-trace rank bound, rational comb and weighted-frame identity provide substantial proof evidence. Appendix A suppresses the equivalent-irrep dual argument and promised explicit primal; both can be supplied, but should be written. Degenerate supports need explicit treatment.
    Novelty
    The architecture-specific clamp, optimized input and rational 3/8 certificate are credible new candidates. Bavaresco et al., Theorem 2 and Example 1, already establish non-group sequential advantage; novelty is this exact echo construction, not that phenomenon generally.
    Significance
    An explicit analytic parallel-versus-causal separation with a constructive memory channel is useful quantum-information mathematics. The gain is about 0.00529 and the certified pulse radius about 4.77e-5; broader algorithmic or experimental impact is not established.
    Reproducibility
    All three scientific scripts ran successfully, after installing SymPy 1.14.0. Independent exact collision and energy checks corroborated them. The release builder failed on its missing compiled-PDF path; the supplied layout and NumPy version differ from the advertised frozen environment.

    Strengths

    • Proposition 2.1 and equations (1)-(4), pp. 3-4: direct Pauli multiplication confirms the common half trace, both E formulas and v1*v2*v3=0 for all 24 symbolic words.
    • Theorems 4.2 and 5.1, pp. 4-5: optimizing a weighted orbit-average square root yields the scalar clamp; singlet/triplet symmetry exhausts parallel marginals, including retained references.
    • Theorem 6.1, p. 6: a fixed linear image of quadratic oracle coordinates cannot increase span. Fixed scalar and vector norm impose one homogeneous relation; the d/24 pure-state bound is valid and need not be attainable generally.
    • Lemma 7.1 and Theorem 7.2, pp. 6-7: the executed rational-arithmetic verifier checks normalization, Hermiticity, A4 covariance, representative rows of KCK=K, and exact positive weight intervals. Covariance covers all 576 entries.
    • Appendix C, p. 11: the six Kraus operators satisfy completeness and reproduce 2*Xi in the actual execution, providing a constructive channel rather than merely an abstract feasibility assertion.
    • Corollary 7.3, p. 8: the eight-generator norm bound and two-query hybrid derivative bound give a valid conservative Lipschitz radius for a fixed tester against the optimized parallel value.
    • Section 8 and Appendix D: an independent exact polynomial-GCD check of all 276 pairs reproduces the three finite nonnegative-t collision factors and class sizes; t=1 gives three projective classes of size eight.

    Weaknesses

    • Appendix A, p. 10, promises an explicit attaining primal but supplies strong-duality prose instead. Display the weighted square-root measurement and the orbit KKT conditions, including zero-weight and rank-deficient limits.
    • The equivalent copies 3V and 3E cannot be discarded from the dual merely because the unweighted average is block diagonal. The required fact is that every orbit-weighted twirl has zero off-diagonal intertwiner; the seed orthogonality proves this but the optimization argument should say so.
    • Appendix B, p. 10: relative to Bell-square, nonscalar squared norms scale by 4(1-a)/3, since Bell-square has a=1/4. The stated factor 1-a suppresses this normalization; the displayed K and final formulas do include the necessary factor.
    • Section 9 and Appendix D distinguish exact algebra from floating-point diagnostics appropriately, but the machine word audit uses numerical root filtering, not a stored exact Sturm certificate. The independent GCD audit supplies separate corroboration.
    • README_SUPPLIED.md and package_release.py reference absent paper/, verification/, release metadata and compiled-PDF paths. The actual release build fails immediately. Scientific scripts at their supplied paths remain runnable.
    • No noise model, laboratory resource analysis, or unrestricted causal optimum away from q=1/2 is supplied. The paper correctly excludes these extensions.
    • Source comparison is bounded: selected primary references were inspected, not the entire bibliography or worldwide priority. Incidental ratings metadata returned by a prerequisite search is disclosed in the verification record and was excluded as evidence.

    Potential errors

    • Proposition 4.1, p. 4: "It is never a tight frame on that support" is false at z=0. All Bell-square outputs coincide, so their average has spectrum {1} on a one-dimensional support and is tight. The discriminant argument assumes the V block is occupied. Restrict the assertion to generic rank-nine support.
    • Section 4 writes v dot Q(v)=3*v1*v2*v3, whereas Appendix A defines Q with sqrt(2), giving 3*sqrt(2)*v1*v2*v3. The common zero makes this a normalization typo without effect on decoupling.

    Strong novelty candidates

    • The exact two-orbit chiral-energy clamp combined with optimization over the singlet weight, Theorems 4.2 and 5.1.
    • The rational causal normalization and positive scalable-frame weights attaining 9/24 at q=1/2, with an explicit six-Kraus realization and a certified open interval.

    Unresolved material objections

    None reported.

    arr:assessment:fb5025c2-eb89-4430-9f82-99aa0e48a21e · prompt ARR-ASSESS-1.0 · runtime identity: OpenAI gpt-6-astra · reasoning effort: high · basis: operator verified ui · evidence SHA-256 41bef4300c3969b0c793b20a1561da82ee2cb4ce2432c9c890bd12cc67a75bca · response SHA-256 aab95bab60db4bd072065251d06ac92eb1a57c45f5f31488e4568416a8c623df · canonical PDF SHA-256 bb1e9ccc4176c73834a5d8dd6c91ac0cf91d20c7f4b5d74016d89cc82d108863

    A model assessment is not peer review or a correctness certificate. AIRR preserves disagreement, exact-version provenance and later reassessments.

    Editorial disclosure

    Founder-owned pilot record: Lluis Eriksson is both the author and AIRR's current founder-editor. No independent editorial review, peer review, frontier-model screening, or scientific certification is claimed. Acceptance records a technically valid deposit, not a finding that the paper is correct.

    Record timestamps & download statistics
    Deposit recordedFirst repository commit · full Git SHA recorded
    PublishedGitHub release · tag ARR-2026-5KS70GV7KK9DYA69-v1
    Canonical PDF downloads5GitHub release downloads only; direct AIRR PDF reads are not included
    Page viewsNot availablePage-view counts are not available in this public snapshot. Optional operator statistics are separate.
    Definitions and rankings →