☕🦝 OpenQAOA
OpenQAOA is a python library that allows implementing the Quantum Approximate Optimisation Algorithm on a variety of backends. Effectively, the package allows to solve optimisation problems using quantum computers and simulators.
Key features of the project include:
- Build advanced QAOAs. Create complex QAOAs by specifying custom parametrisation, mixer hamiltonians, classical optimisers, error mitigation techniques and execute the algorithm on either simulators or QPUs.
- Problem classes. Explore and create a wide range of problems that can be tackled by QAOA.
- Recursive QAOA. Run RQAOA with fully customisable schedules on simulators and QPUs alike.
- QPU access. Built in access for IBM Quantum, Rigetti QCS, Amazon Braket and Azure Quantum.
Open bounties:
- $70 | Integrate the TensorFlow Quantum optimisation tools with OpenQAOA
- $100 | Integrate the Cirq backend with OpenQAOA
- $140 | Integrate the NVIDIA cuQuantum backend with OpenQAOA