qBraid Demos and Tutorials

Welcome to the qBraid Demos Repository! This repository contains a collection of Jupyter Notebooks showcasing how to use qBraid's open-source SDKs for quantum computing. It includes hands-on examples that demonstrate the integration of various tools with qBraid-Lab, making it easier to run quantum computing experiments seamlessly in the cloud.

Contents

This repository features tutorials and examples for the following:

• qBraid-SDK: Learn how to interact with quantum devices using the qBraid Runtime framework.
• qBraid-QIR: Explore qBraid's Quantum Intermediate Representation (QIR) interface using familiar frameworks like OpenQASM 3 and Cirq.
• PyQASM: Discover new ways to integrate with OpenQASM, featuring methods for program validation, compilation, inlining, and unrolling.
• qBraid-CLI: Understand how to manage quantum jobs and resources using qBraid's Command Line Interface.
• qBraid-Lab Integration:
  • Quantum Jobs: Learn how to submit and manage quantum jobs in qBraid Lab.
  • GPUs: Learn how to accelerate your quantum simulations using GPUs available through qBraid Lab.

Documentation and Resources

For more information on qBraid and its tools, check out:

• qBraid Platform Documentation: Comprehensive user guides and resources at docs.qbraid.com.
• qBraid Software API Reference: Detailed API documentation for the qBraid-SDK at sdk.qbraid.com.
• qBraid GitHub Community: Join the discussion and contribute at GitHub Community Page.

Contribution

Contributions to this repository are welcome! If you encounter any issues or would like to contribute improvements or new examples, please open an issue or submit a pull request.