https://github.com/cloudslab/qfaas

QFaaS - A Serverless Function-as-a-Service Framework for Quantum Computing

https://github.com/cloudslab/qfaas

Science Score: 36.0%

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    Found 11 DOI reference(s) in README
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    Links to: arxiv.org
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    Low similarity (14.7%) to scientific vocabulary

Keywords

function-as-a-service qfaas quantum serverless-framework
Last synced: 5 months ago · JSON representation

Repository

QFaaS - A Serverless Function-as-a-Service Framework for Quantum Computing

Basic Info
  • Host: GitHub
  • Owner: Cloudslab
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage: https://qfaas.cloud
  • Size: 55.5 MB
Statistics
  • Stars: 16
  • Watchers: 13
  • Forks: 7
  • Open Issues: 2
  • Releases: 0
Topics
function-as-a-service qfaas quantum serverless-framework
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License

README.md

QFaaS: A Quantum Function-as-a-Service Framework Project Status

QFaaS is a Quantum Function-as-a-Service framework that leverages the advantages of the serverless computing model and state-of-the-art software engineering techniques to advance practical quantum computing in the Noisy Intermediate-Scale Quantum (NISQ) era. Our framework provides essential elements of a serverless quantum system to streamline service-oriented quantum application development in cloud environments, such as combining hybrid quantum-classical computation, automating the backend selection, and adapting Quantum DevOps workflow. QFaaS offers the first full-stack and unified quantum serverless platform by integrating multiple well-known quantum software development kits, quantum simulators, and quantum cloud providers (IBM Quantum and Amazon Braket).

Highlights

  • Support developing quantum functions using 4 popular quantum SDKs, including Qiskit, Q#, Cirq, and Braket.
  • Built-in APIs with API gateway to manage system components, quantum functions, jobs, quantum backend and providers.
  • Simplify quantum programming and enable hybrid quantum-classical function development with a built-in Python library.
  • Execute quantum functions on both internal quantum simulators and external quantum computers/simulators from IBM Quantum and Strangeworks Quantum Computing platforms (Amazon Braket).

QFaaS UI

QFaaS Architecture

The architecture design of QFaaS comprises six main components: the QFaaS APIs and API Gateway, the Application Deployment Layer, the Classical Cloud Layer, the Quantum Cloud Layer, the Monitoring Layer, and the User Interface.

QFaaS Architecture

Deployment Guideline

For detailed instructions on deploying the QFaaS framework, please refer to our documentation here. If you experience any issues during deployment, please create a new issue, and we will be happy to assist. For collaboration requests to enhance the QFaaS framework further, please reach out via email at thanhhoan (at) student.unimelb.edu.au

[!NOTE]
We initially developed QFaaS using Qiskit SDK version 0.36.x. We are currently working on the new version of QFaaS to be compatible with Qiskit 1.x and to support other quantum SDKs. This update is expected to be released later this year (2024). Contributions and collaboration are highly encouraged and welcome.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Reference

[1] Hoa T. Nguyen, Muhammad Usman, and Rajkumar Buyya, “QFaaS: A Serverless Function-as-a-Service framework for Quantum computing,” Future Generation Computer Systems, vol. 154. Elsevier BV, pp. 281–300, May 2024. doi: 10.1016/j.future.2024.01.018. Available: http://dx.doi.org/10.1016/j.future.2024.01.018 (Main Reference)

[2] Hoa T. Nguyen, Bui Binh An Pham, Muhammad Usman, and Rajkumar Buyya, "Quantum Serverless Paradigm and Application Development using the QFaaS Framework", arXiv [cs.ET]. 2024. Available: https://arxiv.org/abs/2407.02828 (Deployment Guideline)

BibTeX entry @article{nguyen2024qfaas, title = {QFaaS: A Serverless Function-as-a-Service framework for Quantum computing}, author = {Nguyen, Hoa T. and Usman, Muhammad and Buyya, Rajkumar}, year = {2024}, month = {May}, journal = {Future Generation Computer Systems}, publisher = {Elsevier BV}, volume = {154}, pages = {281–300}, doi = {10.1016/j.future.2024.01.018}, issn = {0167-739X}, url = {http://dx.doi.org/10.1016/j.future.2024.01.018} }

License

GNU General Public License v3.0

Owner

  • Name: The Cloud Computing and Distributed Systems (CLOUDS) Laboratory
  • Login: Cloudslab
  • Kind: organization

GitHub Events

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Last synced: 6 months ago

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