OpenQAOA -- An SDK for QAOA

We introduce OpenQAOA, a Python open-source multi-backend Software Development Kit to create, customise, and execute the Quantum Approximate Optimisation Algorithm (QAOA) on Noisy Intermediate-Scale Quantum (NISQ) devices and simulators. OpenQAOA facilitates the creation of QAOA workflows, removing...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2022-10
Main Authors: Sharma, Vishal, Nur Shahidee Bin Saharan, Shao-Hen Chiew, Ezequiel Ignacio Rodríguez Chiacchio, Disilvestro, Leonardo, Demarie, Tommaso Federico, Munro, Ewan
Format: Article
Language:English
Subjects:
Algorithms
Circuits
Experimentation
Optimization
Parameterization
Qubits (quantum computing)
Simulators
Software development tools
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We introduce OpenQAOA, a Python open-source multi-backend Software Development Kit to create, customise, and execute the Quantum Approximate Optimisation Algorithm (QAOA) on Noisy Intermediate-Scale Quantum (NISQ) devices and simulators. OpenQAOA facilitates the creation of QAOA workflows, removing the more tedious and repetitive aspects of implementing variational quantum algorithms. It standardises and automates tasks such as circuit creation across different backends, ansatz parametrisation, the optimisation loop, the formatting of results, and extensions of QAOA such as Recursive QAOA. OpenQAOA is designed to simplify and enhance research on QAOA, providing a robust and consistent framework for experimentation with, and deployment of, the algorithm and its variations. Importantly, a heavy emphasis is placed on the provision of tools to enable QAOA computations at the scale of hundreds or thousands of qubits.
ISSN:2331-8422