The Eclipse Qrisp developer community has integrated Eclipse Qrisp with the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. Originally initiated by the Fraunhofer Institute for Open Communication Systems FOKUS and managed under the Eclipse Foundation, Eclipse Qrisp serves as an open-source, high-level Python framework designed to abstract away low-level gate-by-gate assembly and manual qubit management. The integration, developed by a research team including Dr. René Zander, Matic Petrič, Prof. Dr.-Ing. Nikolay Vassilev Tcholtchev, and Sebastian Bock, establishes a unified workflow where developers write code using high-level programming constructs and execute them directly via NVIDIA CUDA-Q’s GPU-accelerated simulation engines and hardware backends. [...]

Barcelona-based quantum developer Qilimanjaro Quantum Tech has released QiliSDK 0.2.0, an open-source Python framework designed to bridge the structural divide between digital…

Silicon spin hardware developer Quantum Motion and computing platform NVIDIA have partnered to address the state preparation problem, a major initialization bottleneck that…

The Eclipse Qrisp developer community has integrated Eclipse Qrisp with the NVIDIA CUDA-Q platform for hybrid quantum-classical computing. Originally initiated by the Fraunhofer…

Eclipse Qrisp has integrated with NVIDIA CUDA-Q, enabling developers to run quantum programs across simulation and hardware backends.

Quantum cloud platform qBraid has announced a series of infrastructure expansions and algorithmic breakthroughs aimed at consolidating its hybrid quantum-classical development…