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

This package is based on Python 3.12+ and is primarily designed for constructing and testing quantum error-correction codes and quantum circuits.

🔨 1 Dependencies

Mandatory:

• QuTiP - Quantum Toolbox in Python
• Stim - Quantum Error-Correction Simulator
• Stimbposd - BPOSD Decoder based on Stim
• Galois - Provides algebraic calculations over $\mathbb{F}_2$
• NumPy - Numerical computing library
• SciPy - Scientific computing library
• Matplotlib - Plotting library
• Qiskit - Provides tools for quantum circuit visualization
• Mip - Integer programming solver for computing code distance

Optional:

• NetworkX - Provides tools for graph analysis and manipulation

tesseract-decoder - Tesseract Decoder, if not installed, Stimbposd decoder will be used instead.

📖 2 Workflow

2.1 Compute Code Parameters

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

2.2 Compute Logical Error Rate

1. Construct a quantum circuit
2. Execute Monte-Carlo simulation to compare the prediction of the circuit with the correct result, and get 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: Moke2001@whu.edu.cn
• Address: Tsinghua University, Beijing, Haidian, MMW-S219
• Phone: +86 130-3373-6868