ExtendedStim: A Python Package Addressing both Fermionic and Bosonic Quantum Error Correction Simultaneously

This program is developed with Python 3.12+ and is mainly used for constructing and testing quantum error-correcting codes and quantum circuits.

🔨 1 Project Dependencies

Required:

• QuTiP - Quantum toolbox
• Stim - Quantum error-correction simulator
• Stimbposd - Stim-based BPOSD decoder
• Galois - Algebra over $\mathbb{F}_2$
• NumPy - Numerical computing library
• SciPy - Scientific computing library
• Matplotlib - Plotting library
• Qiskit - Quantum circuit drawing
• Mip - Integer programming solver for computing code distance

Optional:

tesseract-decoder - Tesseract decoder; if not installed, Stimbposd is used instead.

📖 2 Basic Workflow

2.1 Compute code parameters

1. Construct a quantum error-correcting code
2. Compute the code parameters of the quantum error-correcting code

2.2 Compute logical error rate

1. Construct a quantum circuit
2. Run Monte Carlo simulations and compare predicted correctness to obtain the logical error rate

📄 3 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 4 Contact

• Author: Moke
• Email: [email protected]
• Address: Room S219, Meng Minwei Science and Technology Building, Tsinghua University, Haidian District, Beijing
• Phone: +86 130-3373-6868