Simplified
quantum
computing

Simplified quantum computing

Bring quantum to your JupyterLab experience with qBraid Lab’s quantum computing extensions.

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How to get started with qBraid Lab

Take less than 5 clicks to start your quantum programming experience on qBraid.

qBraid Lab

Built on top of Jupyter Lab

Unlock the full potential of quantum computing with our platform, featuring 30+ configurable environments in Python, Julia, C++, and Q#, seamlessly integrated with leading tools like GitHub, VSCode, and ChatGPT.

Quantum Devices

Access quantum computers from Amazon Braket, IBM, IonQ and more.

Unlock new possibilities in fields like AI, material science, chemistry and more with one of the most accessible quantum device providers.

Quantum Jobs

A coherent snapshot of all of your quantum jobs

View a comprehensive list of all quantum jobs you've run, ensuring you stay on top of your projects.

Environment Manager

Streamline your quantum development

Effortlessly create, customize, and share curated quantum development environments with qBraid’s Lab Environment Manager. Collaborate across Python, Julia, C++, and Q#, and access pre-configured setups for leading quantum libraries—all tailored to accelerate your quantum projects.

Josh Izaac

Product Director @ Xanadu

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qBraid's provision of a white-labeled laboratory significantly enhanced the coding experience for participants of our QHack Hackathon. The integration of PennyLane environments and tailored code snippets facilitated a more engaging and productive interaction for all users involved.

Rowen Wu

Product Manager @ Q-CTRL

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With the Fire Opal environment on qBraid, it's easy for anyone to leverage Q-CTRL's error suppression pipeline to maximize performance of quantum hardware. Instead of spending time setting up, you can simply install the environment and run valuable quantum applications with the best possible performance.

Brian Siegelwax

Independent Quantum Algorithm Designer

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qBraid is the quantum computing shopping mall. If you go there, you can probably find the cloud service and quantum hardware you're looking for with advanced integration and frameworks.

Bennett Brown

QuSTEAM Executive Director

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QuSTEAM offers our undergraduate course modules using the qBraid platform because it's easy for students to start running quantum programs on different kinds of QPUs, right away. It's easy for the instructor to manage the educational materials, provide starter code, and manage QPU credits as their students progress through projects.

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