TapTechNews reported on May 13 that NVIDIA announced the use of the open-source CUDA-Q platform to advance quantum computing research at national supercomputing centers in Germany, Japan, and Poland, integrating quantum and classical supercomputing closely.
The Jülich Supercomputing Centre (JSC) in Germany is deploying QPUs (Quantum Processing Units) from IQM Quantum Computers in its JUPITER supercomputer, driven by NVIDIA GH200 Grace Hopper acceleration.
The ABCI-Q supercomputer at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan will install QPUs from QuEra, powered by NVIDIA Hopper GPU architecture.
The Poznan Supercomputing and Networking Center (PSNC) in Poland recently installed two photon QPUs from ORCA Computing in a new supercomputer partition accelerated by Hopper.
NVIDIA CUDA-Q is an open-source, QPU-agnostic quantum-classical accelerated supercomputing platform that supports the fusion of quantum computing and AI artificial intelligence, solves quantum bit noise problems, and develops efficient algorithms.