QCircPy is a Quantum Computer Simulation and Benchmarking package on Python with GPU and CPU flexibility and performance. It allows the user to benchmark and run simple Quantum Circuits on a GPU or CPU with numpy and cupy.
This project is for educational purposes.
QCircPy requires numpy, which is installed automatically, and cupy, which the user should install manually based on their CUDA version.
For users using CUDA 11.x:
pip install cupy-cuda11xor:
py -m pip install cupy-cuda11xFor users using CUDA 12.x:
pip install cupy-cuda12xor:
py - m pip install cupy-cuda12xThen, finally:
pip install qcircpyor:
py -m pip install qcircpyIt is recommended to use the engine subpackage as an interface to QCircPy's functionalities.
import qcircpy.engine as qpDetailed usage can be found in USAGE.md