qBraid is a cloud-based platform that provides a web-based integrated development environment (IDE) and a Python toolkit for executing quantum programs on various quantum hardware, including IBM and Rigetti systems. It enables researchers and developers to efficiently access and utilize quantum computing resources for complex problem-solving, such as flight trajectory optimization and quantum chemistry benchmarking.
Funding
$4.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Quantum computing researchers and developers face challenges in efficiently accessing and utilizing diverse quantum computing resources, including QPUs, GPUs, and CPUs, due to the complexities of managing different hardware and software environments. The need for specialized tools and expertise to execute quantum programs across various platforms can hinder innovation and slow down the development process.
Solution
qBraid offers a cloud-based platform that streamlines quantum computing workflows by providing a unified web-based integrated development environment (IDE) and a Python toolkit. The platform abstracts away the complexities of interacting with different quantum hardware and simulators, enabling users to seamlessly execute quantum programs on a variety of backends, including IBM, Rigetti, QuEra, and Amazon Braket, as well as CPUs and GPUs. By providing a single point of access to a comprehensive suite of quantum computing resources, qBraid accelerates research and development in areas such as flight trajectory optimization and quantum chemistry benchmarking. The qBraid SDK facilitates cross-framework abstraction and transpilation, further simplifying the process of running quantum algorithms on diverse hardware.
Target Audience
qBraid targets quantum computing researchers, developers, and enterprises seeking to leverage quantum computing resources for complex problem-solving across various industries.
Features
- Web-based IDE for writing, testing, and executing quantum programs
- Python toolkit (qBraid SDK) for cross-framework abstraction and transpilation
- Integrated access to 20+ quantum computers and simulators, including IBM, QuEra, Oxford Quantum Circuits, Rigetti, and Amazon Braket
- Support for flexible CPUs and GPUs
- Pre-configured software tools and libraries for quantum computing
- Job monitoring and management capabilities
- Example projects and tutorials to accelerate learning