https://github.com/qbraid/qbraid-lab-demo
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
https://github.com/qbraid/qbraid-lab-demo
ipython quantum quantum-algorithms quantum-circuit quantum-computing
Last synced: 14 days ago
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Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
- Host: GitHub
- URL: https://github.com/qbraid/qbraid-lab-demo
- Owner: qBraid
- License: apache-2.0
- Created: 2022-01-28T18:20:24.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-03-19T04:06:04.000Z (about 1 month ago)
- Last Synced: 2025-03-19T05:20:14.415Z (about 1 month ago)
- Topics: ipython, quantum, quantum-algorithms, quantum-circuit, quantum-computing
- Language: Jupyter Notebook
- Homepage: https://www.qbraid.com
- Size: 4.07 MB
- Stars: 36
- Watchers: 3
- Forks: 15
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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.
[
](https://account.qbraid.com?gitHubUrl=https://github.com/qBraid/qbraid-lab-demo.git&utm_source=github&redirectUrl=README.md)
## Contents
This repository features tutorials and examples for the following:
- [**qBraid-SDK**](https://docs.qbraid.com/sdk/): Learn how to interact with quantum devices using the qBraid Runtime framework.
- [**qBraid-QIR**](https://docs.qbraid.com/qir/): Explore qBraid's Quantum Intermediate Representation (QIR) interface using familiar frameworks like OpenQASM 3 and Cirq.
- [**PyQASM**](https://docs.qbraid.com/pyqasm/): Discover new ways to integrate with OpenQASM, featuring methods for program validation, compilation, inlining, and unrolling.
- [**qBraid-CLI**](https://docs.qbraid.com/cli/): Understand how to manage quantum jobs and resources using qBraid's Command Line Interface.
- [**qBraid-Lab**](https://docs.qbraid.com/lab/) Integration:
- [**Quantum Jobs**](https://docs.qbraid.com/lab/user-guide/quantum-jobs): Learn how to submit and manage quantum jobs in qBraid Lab.
- [**GPUs**](https://docs.qbraid.com/lab/user-guide/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](https://docs.qbraid.com/).
- **qBraid Software API Reference**: Detailed API documentation for the qBraid-SDK at [sdk.qbraid.com](https://sdk.qbraid.com/).
- **qBraid GitHub Community**: Join the discussion and contribute at [GitHub Community Page](https://github.com/qBraid/community).
## 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.