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 benchmark for two neutral-rail spatial-mode qubits on a commercial cloud photonic processor" (Tully, Washburn, Simons, 2026). This package contains the complete archived cloud-job records, job-ID manifest, circuit-construction and analysis code, and a verification script that recomputes every table and Tier-1 numerical claim in the manuscript. Every number can be regenerated from the archived records without live cloud access. Results are framed as a trusted-circuit, fair-sampling postselected CHSH-score benchmark: the headline quantities are the raw and fixed-ratio reweighted CHSH scores. Standard CHSH-to-entanglement conversions (concurrence, entanglement of formation, and self-testing/extractable-fidelity bounds) are not reported. 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: every cloud job ID mapped to the manuscript table or figure it supports, with setting order and timestamps- 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; 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 (a Supplementary Information 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_package.py && python3 revision_stats.py Verification itself performs no network calls. The advertised verification path requires both pinned dependencies (numpy and perceval-quandela): scripts import the circuit-construction module, which uses perceval for photonic BasicState bookkeeping. ProvenanceAll jobs were submitted to qpu:belenos through the public Perceval cloud interface as standard external-user jobs under Quandela's publicly available Explorer offer. Job IDs in the manifest can be cross-checked against the Quandela cloud job console. No credentials, tokens, or live URLs are included. LicenseCode/data split: source code under scripts/ and this documentation are released 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 manuscript as the preferred attribution.