Python package for building, simulating, and benchmarking hybrid quantum-classical algorithms.
Python package for building, simulating, and benchmarking hybrid quantum-classical algorithms.
qbraid-algorithms requires Python 3.10 or greater, and can be installed with pip as follows:
pip install qbraid-algorithms
[!WARNING] This project is "pre-alpha", and is not yet stable or fully realized. Use with caution, as the API and functionality are subject to significant changes.
You can also install from source by cloning this repository and running a pip install command in the root directory of the repository:
git clone https://github.com/qBraid/qbraid-algorithms.git
cd qbraid-algorithms
pip3 install .
You can view the version of qbraid-algorithms you have installed within a Python shell as follows:
import qbraid_algorithms
qbraid_algorithms.__version__
We are actively looking for new contributors!
qbraid tag.This project was conceived in cooperation with the Quantum Open Source Foundation (QOSF).
FAQs
Python package for building, simulating, and benchmarking hybrid quantum-classical algorithms.
We found that qbraid-algorithms demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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