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 :ref:`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.