Nvidia It says a Boston-based research center is being built to provide cutting-edge technology to advance quantum computing.
The NVIDIA Accelerated Quantum Research Center (NVAQC) will integrate leading quantum hardware with AI supercomputers to achieve so-called accelerated quantum supercomputing. NVAQC will help solve the most challenging problems in quantum computing, from solving quantum noise to experimental quantum processor conversion into practical devices.
Building this new center politically seems to be symbolic. The Trump administration has been building anything for big corporations. By creating an important new center in the United States, NVIDIA can show that it is creating U.S. jobs in a technology area that is critical to U.S. competitiveness.
Leading quantum computing innovators, including Quantinuum, Quantum Machines and Quera Computing, will be working with researchers from leading universities such as Harvard Quantum Systeming (HQI) and Massachusetts Institute of Massachusetts Institute of Technology (MIT) through collaborations with researchers from leading universities, such as Harvard Quantum Systeming (HQI) and Massachusetts Institute of Massachusetts Institute of Technology (MIT).
“Quantum computing will add AI supercomputers to address the most important issues in the world from drug discovery to material development,” Jensen Huang, founder and CEO of NVIDIA, said in a statement. “Working with the wider quantum research community to drive CUDA-QUANTUM HYBRID computing at the NVIDIA Accelerated Quantum Research Center, this will be groundbreaking to create large, useful, useful, accelerated quantum supercomputers.”
Huang Zai NVIDIA GTC 2025lasting until March 21.
Promote quantum innovation
Through NVAQC, business and academic partners will work with NVIDIA to use NVIDIA GB200 NVL72 rack-scale systems or powerful hardware for quantum computing applications. This implements complex simulation of quantum systems and the deployment of low-latency quantum hardware control algorithms that are essential for quantum error correction. The NVIDIA GB200 NVL72 system will also accelerate AI algorithms in quantum computing research.
To address the challenges of integrating GPU and QPU hardware, NVAQC will adopt the NVIDIA CUDA-Q™ quantum development platform, enabling researchers to develop new hybrid quantum algorithms and applications.
HQI – A community of researchers dedicated to advancing quantum systems and their applications will work with NVAQC to advance their research on next-generation quantum computing technologies.
“NVAQC is a very special addition to the Boston area’s quantum ecosystem, including leading university groups and startups,” said Mikhail Lukin, Harvard professor and co-director of HQI, in a statement. “NVIDIA’s accelerated quantum and classical computing technologies have the potential to facilitate the application of quantum error correction to quantum computing systems, accelerate quantum computing research and enhance the field of useful quantum computing.”
Researchers at the EQUS Group, MIT Quantum Engineering Center, will use NVAQC to develop technologies such as quantum error correction.
“NVIDIA Accelerated Quantum Research Center will provide Equs Group researchers with unprecedented access technology and expertise to solve the challenges of useful quantum computing,” William Oliver, professor of electrical engineering and computer science and computer science, and Physicks of the EQUS Group, Director of MIT, and Head of the MIT Quantum Engineering Center. “We expect to include other members of the MIT Center for Quantum Engineering in the future.
NVAQC is expected to start operations later this year.
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