In June 2026, the Eclipse Qrisp developer community announced that it had integrated Qrisp with NVIDIA CUDA-Q and that the integration would be released later in the year. That release is now publicly available. Developers write quantum programs in Qrisp's intuitive, Python-based language and execute them seamlessly on NVIDIA CUDA-Q's high-performance simulation and hardware backends.

NVIDIA CUDA-Q is the platform for developing and running hybrid quantum-classical workflows, including powerful backends that use GPU acceleration. Combined with Qrisp, it pairs expressive high-level programming with state-of-the-art execution. Users can focus on what they want to compute rather than on how to implement it for a specific platform.

Getting started in one step

The integration ships as an optional extra of the Qrisp Python package. Installing it requires a single command:

pip install "qrisp[cudaq]"

This installs Qrisp together with the dependencies needed to run Qrisp programs on CUDA-Q. Existing Qrisp code can then target CUDA-Q backends without being rewritten for a specific platform. Researchers and practitioners in fields such as chemistry, finance, optimization and machine learning can prototype quantum algorithms at a high level of abstraction and scale their simulations with GPU acceleration.

“This release shows what an open ecosystem makes possible. Qrisp and NVIDIA CUDA-Q each solve a different part of the problem, and connecting them gives users the best of both. We're looking forward to seeing what the community builds with it and to their feedback,” said Dr. René Zander and Matic Petrič from Fraunhofer FOKUS.

Tutorial and community

A tutorial accompanies the release. It walks through the complete workflow, from writing a first quantum kernel to building hybrid variational algorithms. 

As an Eclipse Foundation project, Qrisp is developed in the open and thrives on community contributions. Fraunhofer FOKUS invites researchers, developers and organizations to try the integration, share feedback or contribute code.

About Eclipse Qrisp

Eclipse Qrisp was originally developed at Fraunhofer FOKUS and is now maintained across organizations under the umbrella of the Eclipse Foundation. The framework opens quantum computing to researchers and professionals in areas such as chemistry, finance, optimization and machine learning through abstract, high-level programming. Abstractions such as QuantumVariables let developers work with typed data instead of individual qubits and gates, which significantly lowers the barrier to entry compared with hardware-specific approaches.