scpn-quantum-control v1.0.0 — first stable release

First stable release. The public API is placed under an explicit
stable-contract commitment, consolidating the post-0.10.0 control-surface,
hardware-runner, analysis-stack, and differentiable-programming work.

Highlights

• Security — Torch graph-artifact deserialisation is digest-gated (KIMI-12):
  the AOTAutograd and dynamic-shape export replays reach
  torch.load(..., weights_only=False) / torch.export.load only after the
  on-disk artefact re-hashes to the SHA-256 recorded at save time; the
  serialisation-surface audit flags every ungated weights_only=False.
• Verifiability — March job-id commitments with IBM retrieval receipts,
  committed tensor-network classical baselines for the flagship workloads, and
  the preregistered matched-basis QBER re-run (KIMI-7/8/11).
• Evidence governance — Public claims carry dated amendments;
  published-record sources are frozen behind a SHA-256 guard and corrections
  land on live surfaces or new Zenodo versions, never in place.

See the full changelog
for the complete set of changes since 0.10.0, including deprecations (the
scpn_quantum_control.kuramoto / .accel re-export shims over oscillatools).

Install

pip install scpn-quantum-control==1.0.0

• PyPI: https://pypi.org/project/scpn-quantum-control/1.0.0/
• Honest scope: at system sizes reachable today (n ≤ 16 qubits) classical ODE
  and exact solvers remain faster and more accurate than the quantum routes
  here; this package is an evidence-governed control/experimentation workbench,
  not a broad quantum-advantage claim.