pyquantumclifford 0.10.1

Thin Python wrapper for the Julia library QuantumClifford.jl and QuantumClifford.ECC. Supports extremely fast Stabilizer state simulations, weakly non-Clifford dynamics, and generation of many modern quantum error correcting codes.

pyquantumclifford

Thin Python wrapper for QuantumClifford.jl and QuantumClifford.ECC using the JuliaPy stack. Supports extremely fast Stabilizer state simulations, weakly non-Clifford dynamics, and generation of many modern quantum error correcting codes.

Instalation

pip install pyquantumclifford

or

uv add pyquantumclifford

On first import the Julia runtime will be downloaded and QuantumClifford.jl will be compiled (optimized for your hardware). This is a slow process, might take around 5 minutes.

Optional: Having juliaup installed in your system (and available in your PATH) makes managing Julia versions much simpler behind the scenes. Consider manually installing juliaup before installing pyquantumclifford. The install command is curl -fsSL https://install.julialang.org | sh for a selfcontained install in ~/.julia that you can delete at any time.

Usage

import numpy as np
from pyquantumclifford import QuantumClifford, ECC

# Optional, for calling arbitrary Julia code
from juliacall import Main as jl

# Simple ECC code
code = ECC.Shor9()

# Access parity checks and matrices
ECC.parity_checks(ECC.Shor9())
ECC.parity_matrix(ECC.Shor9())
np.array(ECC.parity_matrix(ECC.Shor9()))

Notes

• Windows is not supported due to the Oscar computer algebra system being unavailable on it. Use WSL on Windows.
• juliacall provides access to Julia modules from Python.