University of Kwazulu-Natal

Nvidia Accelerated Quantum Research Center To Bring Quantum Computing

Bonisiwe Shabane
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nvidia accelerated quantum research center to bring quantum computing

As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world’s hardest problems. Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error correction and device control. The NVIDIA Accelerated Quantum Research Center, or NVAQC, announced today at the NVIDIA GTC global AI conference, is where these developments will happen. With an NVIDIA GB200 NVL72 system and the NVIDIA Quantum-2 InfiniBand networking platform, the facility will house a supercomputer with 576 NVIDIA Blackwell GPUs dedicated to quantum computing research. “The NVAQC draws on much-needed and long-sought-after tools for scaling quantum computing to next-generation devices,” said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X at NVIDIA. “The center will be a place for large-scale simulations of quantum algorithms and hardware, tight integration of quantum processors, and both training and deployment of AI models for quantum.”

Quantum computing innovators like Quantinuum, QuEra and Quantum Machines, along with academic partners from the Harvard Quantum Initiative and the Engineering Quantum Systems group at the MIT Center for Quantum Engineering, will work on... In a strategic move that could reshape the future of computing, Nvidia is establishing the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, where the worlds of quantum hardware and AI supercomputing will converge... The initiative represents one of the most significant corporate investments in quantum computing to date, potentially accelerating the timeline to practical, real-world quantum applications. “Quantum computing will augment AI supercomputers to tackle some of the world’s most important problems, from drug discovery to materials development,” Nvidia CEO Jensen Huang said in a statement. “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.” Notably, the announcement marks a significant shift in Nvidia’s quantum computing outlook.

Just months ago, in January, Huang stated that useful quantum computers were likely 20 years away. At Thursday’s announcement at GTC2025 – the company’s annual software developer conference, Huang appeared to revise that timeline, joking to an audience that included executives from quantum computing firms: “This is the first event... This rapid strategic pivot underscores how quickly technological landscapes can shift, forcing even industry leaders to accelerate their timelines and adapt their approaches to emerging technologies. Working with quantum companies to see where GPUs can help Nvidia plans to build a quantum computing research center in Boston. The Nvidia Accelerated Quantum Research Center (NVAQC) will integrate quantum hardware with Nvidia's GB200 NVL72 rack-scale systems in what it calls 'accelerated quantum supercomputing.'

The research center will use systems from companies including Quantinuum, Quantum Machines, and QuEra Computing, as well as work with the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems... Researchers from the EQuS group, a member of the MIT Center for Quantum Engineering, will use NVAQC to develop techniques such as quantum error correction. Expert Insights for the AI Business Revolution NVIDIA announced on Monday the establishment of a Boston-based research center dedicated to advancing quantum computing through artificial intelligence (AI) and accelerated computing technologies. The NVIDIA Accelerated Quantum Research Center (NVAQC) will integrate quantum hardware with AI supercomputers, a concept known as accelerated quantum supercomputing, to address some of the most pressing challenges in the field. These include mitigating qubit noise and developing practical applications for quantum processors.

"Quantum computing will augment AI supercomputers to tackle some of the world's most important problems, from drug discovery to materials development," NVIDIA CEO Jensen Huang said in a statement. "The NVIDIA Accelerated Quantum Research Center is where breakthroughs will be made to create large-scale, useful, accelerated quantum supercomputers." The NVAQC will partner with leading quantum computing firms, including Quantinuum, Quantum Machines, and QuEra Computing. Researchers from institutions such as the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems Group (EQuS) at the Massachusetts Institute of Technology (MIT) will also collaborate at the center. NVIDIA has announced the establishment of the NVIDIA Accelerated Quantum Research Center (NVAQC) in Boston, a facility designed to advance quantum computing architectures and algorithms. The center will integrate quantum hardware with AI supercomputers to tackle critical challenges in quantum computing, such as qubit noise mitigation and the development of scalable, practical quantum processors.

The NVAQC will utilize NVIDIA GB200 NVL72 rack-scale systems to perform high-fidelity simulations of quantum systems and develop low-latency control algorithms necessary for quantum error correction. The center will also leverage the NVIDIA CUDA-Q™ quantum development platform to enable the creation of hybrid quantum-classical algorithms, facilitating efficient integration between GPU and QPU hardware. The center will collaborate with industry leaders, including Quantinuum, Quantum Machines, and QuEra Computing, as well as academic institutions such as the Harvard Quantum Initiative and MIT’s Engineering Quantum Systems (EQuS) group. These partnerships will focus on advancing research in quantum error correction, AI-driven quantum algorithms, and scalable quantum technologies, with the goal of accelerating the transition from experimental quantum systems to practical applications. For more details, visit NVIDIA’s official announcement here, another announcement from Quantinuum here, a press release from QuEra here. and another press release from Quantum Machines here.

March 18, 2025 -- As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world’s hardest problems. Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error correction and device control. The NVIDIA Accelerated Quantum Research Center, or NVAQC, announced today at the NVIDIA GTC global AI conference, is where these developments will happen. With an NVIDIA GB200 NVL72 system and the NVIDIA Quantum-2 InfiniBand networking platform, the facility will house a supercomputer with 576 NVIDIA Blackwell GPUs dedicated to quantum computing research. “The NVAQC draws on much-needed and long-sought-after tools for scaling quantum computing to next-generation devices,” said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X at NVIDIA. “The center will be a place for large-scale simulations of quantum algorithms and hardware, tight integration of quantum processors, and both training and deployment of AI models for quantum.”

Quantum computing innovators like Quantinuum, QuEra and Quantum Machines, along with academic partners from the Harvard Quantum Initiative and the Engineering Quantum Systems group at the MIT Center for Quantum Engineering, will work on...

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