v1.1.0 Latest
29 July 2026
Bounded differentiable control and simulation evidence
- Added exact finite parity-sector derivatives, topology-constrained proposal custody, multiscale synchronisation observables, and deterministic evidence replay.
- Simulation-only forecasting, reservoir, sensing, and co-design lanes retain explicit refusals for unsupported hardware, deployment, efficacy, and advantage claims.
- Current generated inventory: 697 Python source modules, 1,373 public classes, 177 Rust bindings, 1,155 Python test files, 841 public API exports, 109 notebooks, 38 domain families, and 37 examples.
v1.0.0
17 July 2026 · amendments through 18 July
Stable contracts and evidence-governed public claims
- First stable public-API commitment across the hardware runner, control surfaces, analysis stack, and bounded differentiable-programming routes.
- Release inventory: 643 Python source modules, 1,238 public classes, 177 Rust bindings, 1,095 Python test files, and 841 public API exports.
- Committed tensor-network baselines state the classical-simulability boundary; no broad quantum advantage is claimed at current system sizes.
- CHSH significance corrected per pair: 7.54σ for S=2.165 and 8.94σ for S=2.188.
- Matched-basis re-run published with raw mismatch rates of 1.39%–3.00%; no QKD security, key-rate, or viability claim follows.
- IBM v2 raw counts and job identifiers recovered publicly; the former hardware coherence-protection interpretation is retired, while the data remains available.
v0.10.0
26 June 2026
Studio federation, uncertainty quantification, and architecture documentation
- SCPN-STUDIO federation surface — a
scpn_quantum_control.studio capability manifest on the SCPN-STUDIO platform contract, declaring eight verbs (compile / simulate / analyse / validate / benchmark / replay plus mitigate / execute), nine studio.*.v1 evidence schemas mapped from the five-class hardware ledger, a content-addressed digest, and an additive architecture-map extension block for Hub ingestion.
- Uncertainty quantification — zero-noise extrapolation now carries a propagated standard error and coverage interval (weighted-least-squares when per-scale shot-noise errors are supplied), and synchronisation metrics gain analytic delta-method and distribution-free bootstrap intervals. Mitigated and hardware-derived results now carry defensible error bars instead of bare point estimates.
- Architecture documentation — an Architecture Map (per-stage IO contracts, backend/dispatch wiring, cross-repo integration points, honest scope boundaries) and an Architecture Decision Records page covering six major design decisions.
- Capability inventory — 524 Python source modules, 919 public classes, 171 Rust PyO3 bindings, 853 test files, 100 notebooks, across 32 subpackages.
v0.9.12
v0.9.6 – v0.9.12 · April–June 2026
Post-Phase-1 hardening, publications, and documentation
- Publications (25 May 2026) — Seven open-access preprints posted to Zenodo with citable DOIs: DLA parity hardware observation, Kuramoto–XY on 156 qubits, monitored feedback vs open-loop, reduced-Pauli entanglement checks, Fisher-information feedback, Rust/VQE methods, and the software-framework note.
- v0.9.12 (15 Jun) — Upgraded the Rust PyO3/NumPy binding stack; refreshed public release metadata and documentation surfaces.
- v0.9.11 (5 Jun) — Promoted the native compiler-backed whole-program automatic-differentiation determinant path.
- v0.9.10 (4 Jun) — Polished the differentiable-programming documentation; documented the enterprise-readiness boundary.
- v0.9.9 (2 Jun) — Added a public differentiable-programming documentation route; refreshed onboarding and quickstart.
- v0.9.8 (1 Jun) — Added a public onboarding page; aligned the release-readiness audit coverage threshold.
- v0.9.7 (19 May) — First GOTM-SCPN Paper 0 Knm preregistered replay; Paper 0 methodology-paper outline.
- v0.9.6 (17 Apr) — Security: bumped
rand 0.9.2→0.9.4 for an upstream advisory; removed an IBM Cloud CRN prefix log in the job-retrieval script.
v0.9.5
April 2026
Phase 1 Hardware Confirmation (10 April 2026)
- DLA parity asymmetry confirmed on ibm_kingston (Heron r2, 156 qubits) — first publishable hardware result
- 342 circuits, 4–8 qubits, up to 21 repetitions per point, ~700,000 shots total
- Mean asymmetry for depths ≥ 4: +10.8% (odd sector more robust than even sector)
- Strongest signal at Trotter depth 6: +17.48% (21 reps, binomial p = 0.035)
- 7 of 8 depth points positive — statistically significant at p < 0.05
- Consistent with the apriori classical simulator prediction (4.5–9.6%)
New Modules — Error Mitigation & Pulse Shaping
- GUESS symmetry decay ZNE — physics-informed error mitigation using the XY Hamiltonian's conserved total magnetisation, Rust fit + batch extrapolation (Oliva del Moral et al., arXiv:2603.13060)
- DynQ qubit mapper — topology-agnostic placement via Louvain community detection on calibration-weighted QPU graphs, Rust quality scoring (Liu et al., arXiv:2601.19635)
- ICI pulse sequences — Pontryagin Maximum Principle optimal three-segment STIREP protocol with Lindblad decay simulation (Liu et al., 2023)
- (α,β)-hypergeometric pulse shaping — unified adiabatic pulse family via Gauss ₂F₁, subsumes Allen-Eberly, STIRAP, and Demkov-Kunike (Ventura Meinersen et al., arXiv:2504.08031)
Rust Engine & FFI Hardening
- 36 Rust exported functions (up from 22), all with PyResult<T> boundary validation
- 44× Rust speedup for hypergeometric envelope via custom ₂F₁ series expansion and rayon parallelisation
- New Rust modules: validation.rs (16 unit tests), symmetry_decay.rs, community.rs, pulse_shaping.rs
- Inner/outer function pattern for testability without Python context
- Release profile: LTO fat, opt-level 3, codegen-units 1, strip debuginfo
Earlier v0.9.5 Additions (March 2026)
- Multi-Scale QEC (concatenated surface codes, 5 SCPN domains)
- Free Energy Principle (Friston 2010 variational formulation)
- Ψ-field lattice gauge theory (U(1) compact gauge, HMC)
- Knm validation complete across 5 physical systems
- Dynamic Coupling Engine (Quantum Hebbian Learning)
- Tests: 2,715 → 4,828 collected; Python modules: 165 → 201
v0.9.4
March 2026
Highlights
- IBM Heron r2 hardware validation campaign (33 jobs, 176K+ shots)
- Bell inequality violation: S = 2.165 (>8σ)
- QKD QBER was reported as 5.5%; amended 17 July 2026 because the legacy value is not independently derivable and supports no QKD-security claim.
- VQE 0.05% ground state error
- 3 novel synchronisation witnesses
- DLA parity theorem: dim = 22N−1 − 2
- FIM investigation series (34 notebooks)
- Cross-repo bridges (sc-neurocore, SSGF)
v0.9.3
February 2026
Highlights
- QSNN subpackage (7 modules): quantum spiking neural networks
- Trapped-ion backend with heating/dephasing models
- Circuit cutting for large systems
- GPU offload via CuPy + JAX
- QAOA-MPC for power grid control
- VQLS Grad-Shafranov solver for ITER
v0.9.2
January 2026
Highlights
- Rust engine (PyO3): the former 5,401× cold-start figure is retired; current public wording uses the committed warmed declared-hardware baseline.
- Error mitigation suite: ZNE, PEC, DD, Z2
- Identity subpackage: VQE attractor, coherence budget
- Cryptography: BB84, Bell tests, topology-authenticated QKD
- QEC: toric code, surface code, repetition code UPDE
v0.9.0 – v0.9.1
December 2025 – January 2026
Foundation
- Core Kuramoto-to-quantum compiler
- Trotter, VQE, ADAPT-VQE implementations
- Analysis subpackage: QFI, persistent homology, OTOC
- Bridge subpackage: Knm → Hamiltonian
- IBM Quantum runner (basic)
- CI/CD pipeline: lint, test, coverage, security
- MkDocs documentation site