v0.1.1: DOI Registration

v0.1.1 - DOI Registration

Patch release to trigger Zenodo DOI creation for academic citation.

Changes

• No code changes from v0.1.0
• This release enables automatic DOI minting via Zenodo integration

DOI

Once processed by Zenodo, this release will have a permanent DOI for academic citation.

Previous Release

See v0.1.0 for the full feature list and initial public release notes.

v0.1.0: Initial Public Release

v0.1.0 - Initial Public Release

This is the first public release of the Stim implementation of the [[16,4,4]] Tesseract Code.

Features

• Complete Stim-based simulation of the Tesseract quantum error correction code
• Gate-level encoding with two modes (Fig 9a/9b from the paper)
• Configurable depolarizing noise modeling
• Stabilizer measurement rounds with manual decoding
• Pauli frame tracking and correction
• Acceptance rate and fidelity analysis tools
• Comprehensive test suite

What's Included

• Full error correction pipeline implementation
• Jupyter notebooks for experiments and visualization
• Plotting tools for acceptance rates and logical success rates
• MIT License for open source distribution
• CITATION.cff for proper academic citation

Known Limitations

• Quantitative reproduction of paper results is work-in-progress
• Uses depolarizing noise model vs. experimental noise
• Pauli frame correction applied post-measurement
• No memory decoherence during idle periods

Requirements

• Python 3.8+
• Stim 1.11+
• See requirements.txt for full dependencies

Quick Start

pip install -r requirements.txt
python tesseract_sim/plotting/plot_acceptance_rates.py --apply_pauli_frame true --encoding-mode 9a