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| 1 | +# Changelog |
| 2 | + |
| 3 | +All notable changes to this project will be documented in this file. |
| 4 | + |
| 5 | +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), |
| 6 | +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). |
| 7 | + |
| 8 | +## [Unreleased] |
| 9 | + |
| 10 | +### Changed |
| 11 | +- Reorganized dataset structure to single-source flat layout in `datasets/` directory |
| 12 | +- Updated CLI default dataset path from `datasets/noisy_circuits` to `datasets` |
| 13 | +- Moved all visualization images to `datasets/visualizations/` subdirectory |
| 14 | +- Updated package metadata in `pyproject.toml` with project URLs and maintainers |
| 15 | +- Updated README.md to focus on Python implementation |
| 16 | +- Updated dataset documentation to reflect new structure |
| 17 | + |
| 18 | +### Added |
| 19 | +- LICENSE file (MIT License) |
| 20 | +- CONTRIBUTING.md with development guidelines |
| 21 | +- Project URLs in package metadata (Homepage, Documentation, Repository, Issues, Changelog) |
| 22 | +- Maintainers field in package metadata |
| 23 | + |
| 24 | +### Removed |
| 25 | +- Duplicate dataset files from subdirectories (`circuits/`, `dems/`, `uais/`, `syndromes/`, `noisy_circuits/`) |
| 26 | +- Julia code examples and references from README |
| 27 | +- Winter school training references from project description |
| 28 | + |
| 29 | +## [0.1.0] - 2025-01-20 |
| 30 | + |
| 31 | +### Added |
| 32 | +- Initial release of BPDecoderPlus |
| 33 | +- Noisy circuit generation for surface codes using Stim |
| 34 | +- Belief propagation decoder implementation using PyTorch |
| 35 | +- CLI tool for generating noisy circuits and detector error models |
| 36 | +- Support for surface code distances 3, 5, 7, 9 |
| 37 | +- Syndrome database generation and storage |
| 38 | +- UAI format export for inference problems |
| 39 | +- PyTorch-based BP solver with customizable iterations |
| 40 | +- GitHub Pages documentation with MkDocs |
| 41 | +- Comprehensive test suite with pytest |
| 42 | +- CI/CD pipeline with GitHub Actions |
| 43 | +- Example datasets for d=3 surface codes with varying rounds |
| 44 | + |
| 45 | +### Features |
| 46 | +- Circuit-level surface code simulation |
| 47 | +- Detector error model (DEM) generation |
| 48 | +- Syndrome extraction and database management |
| 49 | +- Multiple output formats: Stim circuits, DEM files, UAI files, NPZ syndrome databases |
| 50 | +- Configurable physical error rates and code parameters |
| 51 | +- Integration with Stim for fast quantum circuit simulation |
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