Phase B reproducibility package: count records, job manifest, and analysis code for the postselected CHSH benchmark on the Quandela Belenos processor

Supplemental material for "Postselected CHSH benchmarking of neutral-railspatial-mode qubits on a commercial cloud photonic processor" (Tully,Washburn, Simons, 2026). This package contains the complete archived cloud-job records, job-IDmanifest, circuit-construction and analysis code, content hashes for thefour submitted target unitaries, and verification scripts that recomputeevery table and numerical claim in the manuscript. Every number can beregenerated from the archived records without live cloud access. Results are framed as a fixed-order, trusted-circuit, fair-samplingpostselected CHSH-score reference acquisition. The headline quantities arethe raw and fixed-ratio reweighted CHSH scores, each reported with both aconditional shot-noise error and the wider pass-level dispersion: the eightpasses do not share a common mean (chi^2/nu = 6.1), so the pooled errors arewithin-ensemble descriptors and not platform precisions. The efficiencyreweighting is a sensitivity analysis over archived start-of-sessiontransmittance metadata whose temporal stability was not re-measured, so thereweighted score also carries an explicit kappa model band. Because the dataare one dependent same-day sequence on a single provider, the depositsupports a reporting protocol plus a reference acquisition, not a validatedcross-provider comparative metric. Standard CHSH-to-entanglement conversions(concurrence, entanglement of formation, and self-testing / extractable-fidelity bounds) are not reported, because the residual remote-settingmarginals do not establish their common-state, local-analyzer premises. Headline values regenerated by this package- S_count = 2.485 +/- 0.019 (conditional shot noise) on 26,833 accepted coincidences; pass-level scale +/- 0.048 (Hartung-Knapp)- S^rw_count = 2.380 +/- 0.021 (conditional), session-specific block-A reweight with kappa_A,1 = 1.524 and kappa_A,2 = 1.587; pass-level scale +/- 0.060- S^rw_count kappa model band 2.356-2.404 (+/- 0.024), spanning the marginal-consistent ratio kappa_eff = 1.395 and a +10% relative excursion above the archived ratios- S^rw_AB = 2.376 +/- 0.021 when both blocks are reweighted- Submitted-target checks: 16x16 unitarity residuals <= 7.8e-16 and postselected logical 4x4 transfer matching (1/3)diag(1,1,1,-1) to 1.7e-16. These concern the SUBMITTED targets only; the server-side compiled physical mapping is never returned and cannot be verified. Contents- data/raw/: full click-pattern count records and platform calibration metadata for the two CHSH acquisition sessions of 4 July 2026 (32 CHSH jobs across eight passes, plus a two-job photon-recycling A/B comparison) and the exploratory gate-characterization session- manifest/job_manifest.csv: all 59 cloud job IDs mapped to the manuscript table or figure each supports, with setting order and timestamps- scripts/verify_targets.py: the single pass/fail verification entry point. Recomputes the SHA-256 hashes of the four submitted 16x16 CHSH target unitaries and of the offline postselection predicate; checks the 16x16 unitarity residuals and the postselected logical 4x4 transfer against (1/3)diag(1,1,1,-1); regenerates S_count and S^rw_count from the archived counts; compares the measured per-setting accepted logical fractions against predictions from the archived targets at v = 1, the fitted v, and the fully distinguishable limit; and asserts that no numerical table is imported from the companion single-block study. Exits non-zero on any mismatch.- scripts/: circuit construction and postselection/correlator analysis; the hardware submission driver used for the CHSH acquisition sessions; the count-pooled descriptor S_count; exploratory pass-level random-effects / Birge-Student sensitivity summaries (DerSimonian-Laird/REML between-pass variance, Hartung-Knapp interval; no Gaussian-equivalent "sigma" is headlined, because the passes are sequential and not asserted independent); fixed-ratio readout-imbalance reweighting reported as S^rw_count (multinomial delta-method error, bootstrap-checked) with an exploratory reweighted pass-level summary S^rw_pass and the kappa model band; remote-setting marginal diagnostics; acquisition-position summaries that are descriptive only and are not interpreted as temporal trend tests (setting and acquisition position are perfectly confounded); the exploratory two-setting ZZ/XX witness with uncertainties (an archived cross-check, not a headline result); a two-component distinguishability model; and verify_package.py, which recomputes the manuscript tables from data/raw and checks them against the quoted values- requirements.txt: pinned software environment (tested with CPython 3.11.10, numpy 2.4.4, perceval-quandela 1.2.4)- SHA256SUMS.txt: SHA-256 checksums for package files Quick startpython3.11 -m venv .venv && source .venv/bin/activatepip install -r requirements.txtcd scriptspython3 verify_targets.py && python3 verify_package.py && python3 revision_stats.py Run verify_targets.py first: it is the single gate that returns exit code 0only if the target hashes, ideal-target algebra, headline scores, andcompanion-isolation assertions all match the manuscript. File integrity: shasum -a 256 -c SHA256SUMS.txt Verification itself performs no network calls. The advertised verificationpath requires both pinned dependencies (numpy and perceval-quandela):scripts import the circuit-construction module, which uses perceval forphotonic BasicState bookkeeping. Changes in this version- Added scripts/verify_targets.py: content hashes for the four submitted target unitaries, the postselected logical 4x4 residual, offline regeneration of both headline scores, the accepted-fraction model-versus- data comparison, and a companion-isolation assertion, with a non-zero exit status on mismatch.- README: documents the verification entry point and records the kappa model band, the target hashes, and the accepted-fraction model-versus-data result.- Regenerated SHA256SUMS.txt to cover the added and updated files.- Removed a generated scripts/__pycache__ directory that was not covered by the checksum list.- Deposit title and manuscript reference updated to the current manuscript title. ProvenanceAll jobs were submitted to qpu:belenos through the public Perceval cloudinterface as standard external-user jobs under Quandela's publicly availableExplorer offer. Job IDs in the manifest can be cross-checked against theQuandela cloud job console. No credentials, tokens, or live URLs areincluded. LicenseCode/data split: source code under scripts/ and this documentation arereleased under the MIT license (LICENSE); archived data records under data/are released under Creative Commons Attribution 4.0 International, CC BY 4.0(LICENSE-DATA). If you use either, please cite the accompanying manuscriptas the preferred attribution.