Quantum Circuits announced that its dual-rail Seeker quantum processing unit now supports Nvidia’s CUDA-Q programming language, a move designed to help developers combine quantum computing with AI and machine learning workloads as the two technologies increasingly intersect. Nvidia’s CUDA-Q is a quantum programming language that can run on any hardware and supports both C++ and Python. It’s especially useful for combining quantum computing with HPC and AI workloads. Since Nvidia isn’t building its own quantum computer, the CUDA-Q platform is completely hardware-agnostic, says James Sanders, semiconductor industry analyst at TechInsights. CUDA-Q is built on top of Quantum Intermediate Representation (QIR), an open-source project that’s allied with the Linux Foundation. It includes Microsoft, Nvidia, Oak Ridge National Laboratory, Quantinuum, Quantum Circuits, and Rigetti Computing on its steering committee.

Full report : The Seeker quantum processor from Quantum Circuits now supports Nvidia’s CUDA-Q, enabling developers to combine quantum computing with AI and machine learning.