Insider Brief
- The Eclipse Qrisp developer community has integrated the Eclipse Qrisp quantum programming framework with NVIDIA CUDA-Q for hybrid quantum-classical computing workflows.
- The integration allows developers to write quantum programs in Qrisp’s Python-based language and execute them using CUDA-Q simulation and hardware backends.
- The combined platform aims to simplify quantum software development by pairing high-level programming with GPU-accelerated execution capabilities.
PRESS RELEASE — The Eclipse Qrisp developer community has integrated Eclipse Qrisp – the open-source framework for quantum programming initiated by Fraunhofer FOKUS – with the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. The integration will be made publicly available later this year.
The integration enables a straightforward workflow: developers write quantum programmes in Qrisp’s intuitive, Python-based language and execute them seamlessly via NVIDIA CUDA-Q’s powerful simulation and hardware backends. NVIDIA CUDA-Q is the platform for developing and running hybrid quantum-classical workflows, including offering powerful backends that utilise GPU acceleration. Its integration with Qrisp combines expressive, high-level programming with state-of-the-art execution capabilities. This allows users to focus on what they want to compute, rather than on how to implement it for a specific platform.
About Eclipse Qrisp
Eclipse Qrisp was originally developed at Fraunhofer FOKUS and is now maintained collaboratively across organisations under the umbrella of the Eclipse Foundation. The framework aims to enable researchers and specialists from various fields, such as chemistry or finance, and those working on optimisation problems or machine learning, to access quantum computing through high-level programming abstractions. As Qrisp is based on Python, it significantly lowers the barrier to entry compared to hardware-specific approaches to quantum programming.
As an Eclipse Foundation project, Qrisp is developed openly and thrives on contributions from the community. Fraunhofer FOKUS invites researchers, developers and organisations to join the growing ecosystem. You can use the framework, provide feedback or contribute code.
A tutorial explaining the entire workflow – from writing a first quantum kernel to creating hybrid variational algorithms – will accompany the release.
