Business
NVIDIA to Build Accelerated Quantum Computing Research Center
NVIDIA to Build Accelerated Quantum Computing Research Center
About this update from Nvidia Corporation
[{"type":"text","content":"New Center in Boston to Advance the Development of Quantum Computing Architectures and Algorithms in Collaboration With Leading Hardware and Software Makers\nSAN JOSE, Calif., March 18, 2025 (GLOBE NEWSWIRE) -- GTC— NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing. The NVIDIA Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing. The NVAQC will help solve quantum computing’s most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices. Leading quantum computing innovators, including Quantinuum, Quantum Machines and QuEra Computing, will tap into the NVAQC to drive advancements through collaborations with researchers from leading universities, such as the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems (EQuS) group at the Massachusetts Institute of Technology (MIT). “Quantum computing will augment AI supercomputers to tackle some of the world’s most important problems, from drug discovery to materials development,” said Jensen Huang, founder and CEO of NVIDIA. “Working with the wider quantum research community to advance CUDA-quantum hybrid computing, the NVIDIA Accelerated Quantum Research Center is where breakthroughs will be made to create large-scale, useful, accelerated quantum supercomputers.” Propelling Quantum InnovationThrough the NVAQC, commercial and academic partners will work with NVIDIA to use state-of-the-art NVIDIA GB200 NVL72 rack-scale systems, the most powerful hardware ever deployed for quantum computing applications. This enables complex simulations of quantum systems and the deployment of the low-latency quantum hardware control algorithms essential for quantum error correction. NVIDIA GB200 NVL72 systems will also accelerate the adoption of AI algorithms in quantum computing research. To address the challenges of integrating GPU and QPU hardware, the NVAQC will employ the NVIDIA CUDA-Q™ quantum development platform, enabling researchers to develop new hybrid quantum algorithms and applications. The HQI — a community of researchers dedicated to advancing the science and engineering of quantum systems...