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A Quadratic Unconstrained Binary Optimization (QUBO) solver library using quantum and classical approaches

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Qubo Solver logo

Qubo Solver is a Python library for solving Quadratic Unconstrained Binary Optimization (QUBO) problems on Pasqal's neutral-atom quantum processors.

🔥 Can't wait to try it? Jump straight to the 30-Second Quickstart.

🆘 Need help? Check out the Help section for FAQ, troubleshooting, and contact info.

For more detailed information, check out the documentation.

Install from PyPI

Qubo Solver can be installed from PyPI with your favorite pyproject-compatible Python manager. On pip, for example:

pip install qubo-solver

Add Qubo Solver as a dependency

For usage within a project with a corresponding pyproject.toml file, you can add qubo-solver to the list of dependencies as follows:

[project]
dependencies = [
  "qubo-solver"
]

Install from source

If you wish to install directly from the source, for example, if you are developing code for Qubo Solver, you can:

  1. Clone the Qubo Solver GitHub repository
git clone https://github.com/pasqal-io/qubo-solver.git
  1. Setup an environment for developing. From your qubo-solver folder, again install with your favorite environment/package managers. On venv/pip, for example:
python -m venv .venv
source .venv/bin/activate
pip install --group dev -e .

Getting in touch

  • Pasqal Community Portal (to learn about Quantum Computing on Pasqal's platform).
  • GitHub Repository (source code, issue tracker).
  • Professional Support (e.g., technical support, custom licensing, a variant of this library optimized for your workload, purchasing your own QPU or remote access to one, etc.).

About

A Quadratic Unconstrained Binary Optimization (QUBO) solver library using quantum and classical approaches

Resources

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Contributing

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