Changelog

Every notable change to the open-source microquantum SDK is tracked in CHANGELOG.md (Keep a Changelog format, Semantic Versioning) in the repository root — the single source of truth:

https://github.com/ajit-ai/microquantum/blob/main/CHANGELOG.md

Release history

1.0.0 (General Availability)

The GA release completes the final Phase 120 roadmap phase — the roadmap is complete:

  • System standard library (microquantum.stdlib: bits, numbers, states).

  • Package ecosystem locked through the canonical package / import map.

  • Runtime & tooling: RuntimeConfig, stage-tagged runtime errors, runtime_info introspection and the microquantum CLI (version / info / backends / run).

  • Final GA readiness: version 1.0.0, production/stable packaging classifiers, docs/releases/ga.rst release notes and the post-1.0 stability contract.

The 0.4.x Developer Preview series that preceded this release is archived on the Developer Preview page.

0.4.0 (Developer Preview)

The first release that is installable from PyPI with full documentation and CI coverage:

  • Execution records / experiments layer and the analysis layer (SamplingAnalysis, ExpectationAnalysis, StateAnalysis, ResultAggregator).

  • Backend capabilities, registry, providers and the BackendAdapter boundary.

  • ExecutionPlan / ExecutionRuntime with batch, sweep and hybrid orchestration.

  • Sphinx documentation (Furo) with the complete information architecture, GitHub Pages deployment workflow, packaging polish and version bump to 0.4.0.

0.3.0

Initial public open-source release of the SDK (MIT):

  • Core engine, algorithms, simulators, tensor-network backends, real-hardware providers, QML, QEC, benchmarks, mitigation, chemistry, QUBO toolchain and the standardized Result contract.

  • Repository split: the open SDK publishes to PyPI as microquantum; vertical solvers live in a separate repository.