NVIDIA, the multinational technology company, has announced its plans to boost quantum computing at global supercomputing centers with the use of its open-source NVIDIA CUDA-Q™ platform. This initiative will be implemented in supercomputing sites located in Germany, Japan, and Poland. These sites will utilize the platform to power the Quantum Processing Units (QPUs) within their NVIDIA-accelerated high-performance computing systems.

QPUs, which form the core of quantum computers, leverage particle behavior such as that of electrons or photons to perform calculations differently than traditional processors. This unique method has the potential to expedite certain types of calculations.

In Germany, Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich is integrating a QPU developed by IQM Quantum Computers into its JUPITER supercomputer. The latter is powered by the NVIDIA GH200 Grace Hopper™ Superchip.

The National Institute of Advanced Industrial Science and Technology (AIST) in Japan houses the ABCI-Q supercomputer designed to propel the country's quantum computing initiative. The system, fueled by the NVIDIA Hopper™ architecture, will incorporate a QPU from QuEra.

In Poland, Poznan Supercomputing and Networking Center (PSNC) recently installed two photonic QPUs built by ORCA Computing. These are connected to a new supercomputer partition accelerated by NVIDIA Hopper.

Tim Costa, director of quantum and HPC at NVIDIA stated that "useful quantum computing will be enabled by the tight integration of quantum with GPU supercomputing." He added that NVIDIA's quantum computing platform equips pioneers like AIST, JSC and PSNC to push scientific discovery boundaries and advance state-of-the-art quantum-integrated supercomputing.

The QPU integrated with ABCI-Q will allow AIST researchers to explore quantum applications in AI, energy and biology using Rubidium atoms controlled by laser light as qubits for calculations. Masahiro Horibe, deputy director of G-QuAT/AIST, affirmed that "Japan’s researchers will make progress toward practical quantum computing applications with the ABCI-Q quantum-classical accelerated supercomputer."

PSNC's QPUs will enable research in biology, chemistry and machine learning using two PT-1 quantum photonics systems. Krzysztof Kurowski, CTO and deputy director of PSNC, stated that their collaboration with ORCA and NVIDIA has allowed them to create a unique environment and build a new quantum-classical hybrid system at PSNC.

The QPU integrated with JUPITER will enable JSC researchers to develop quantum applications for chemical simulations and optimization problems. Kristel Michielsen, head of the quantum information processing group at JSC, expressed that "quantum computing is being brought closer by hybrid quantum-classical accelerated supercomputing."

By tightly integrating quantum computers with supercomputers, CUDA-Q also enables quantum computing with AI to solve problems such as noisy qubits and develop efficient algorithms. CUDA-Q is an open-source and QPU-agnostic quantum-classical accelerated supercomputing platform widely used by companies deploying QPUs.