Quantum Meets Ai How Nvidia S Nvaqc Is Rewriting The Rules Of
Posted by Kris Stewart | Mar 20, 2025 | AI | 0 | Quantum computing isn’t just the future—it’s the next frontier of computational power, and NVIDIA is doubling down on its mission to bring it closer to reality. At the heart of this quantum revolution is the newly unveiled NVIDIA Accelerated Quantum Research Center (NVAQC), a cutting-edge hub where quantum processing units (QPUs) and AI supercomputers collide to tackle humanity’s most complex... Announced at NVIDIA’s GTC global AI conference, the NVAQC is poised to become the epicenter of quantum innovation, powered by a staggering 576 NVIDIA Blackwell GPUs and the NVIDIA Quantum-2 InfiniBand networking platform. “The NVAQC is the ultimate sandbox for scaling quantum computing,” says Tim Costa, NVIDIA’s senior director of computer-aided engineering, quantum, and CUDA-X. “It’s where we’ll simulate quantum algorithms, integrate quantum processors, and train AI models to push the boundaries of what’s possible.” With partners like Quantinuum, QuEra, and Quantum Machines, alongside academic heavyweights like MIT and...
Together, they’re redefining what it means to build a hybrid quantum-classical supercomputer. One of the biggest hurdles in quantum computing? Noise. Qubits, the building blocks of quantum systems, are notoriously finicky. While they need to interact with their environment to function, these interactions often introduce errors that can derail calculations. Enter quantum error correction—a process that encodes logical qubits within a sea of noisy physical ones.
But here’s the catch: decoding these errors in real-time is a computational nightmare. That’s where NVIDIA’s AI supercomputing prowess comes in. The NVAQC will explore how AI can turbocharge decoding, enabling low-latency, parallelized systems that keep quantum noise in check. By leveraging NVIDIA’s GB200 Grace Blackwell Superchips, researchers aim to develop AI-enhanced decoders that can process millions of qubits at lightning speed. “This is about building the infrastructure to make quantum computing useful,” says Mikhail Lukin, co-director of the Harvard Quantum Initiative. Visit your regional NVIDIA website for local content, pricing, and where to buy partners specific to your country.
AI-driven platform for life sciences research and discovery Fully managed end-to-end AI platform on leading clouds Explore, test, and deploy AI models and agents Integrate advanced simulation and AI into complex 3D workflows 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... 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 is establishing a research hub dedicated to advancing quantum computing through artificial intelligence (AI) and accelerated computing technologies. The Boston-based 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. "The NVAQC is a very special addition to the unique Boston area quantum ecosystem, including world-leading university groups and startup companies," said Mikhail Lukin, Joshua and Beth Friedman University Professor at Harvard and a... "The accelerated quantum and classical computing technologies NVIDIA is bringing together has the potential to advance the research in areas ranging from quantum error correction to applications of quantum computing systems, accelerating quantum computing... Get the latest updates delivered to your inbox every day, and stay up-to-date for free 🧠📈 Get the latest updates delivered to your inbox every day, and stay up-to-date for free 🧠📈
Nvidia Teams Up With Harvard, MIT to Supercharge Quantum Computing With AI Nvidia GB200 NVL72 rack-scale system on display at CES 2025 (Credit: Emily Forlini) Nvidia is building a Boston-based research center where it will partner with researchers from Harvard and the Massachusetts Institute of Technology... The so-called Nvidia Accelerated Quantum Research Center (NVAQC) will "integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing," Nvidia says. It opens later this year. While it remains to be seen what comes out of this partnership, Nvidia CEO Jensen Huang pointed to "drug discovery" and "materials development" as initial focuses. But that could take time.
Huang said in January that quantum computers won't be "very useful" for another 20 years or so. Nvidia invites "commercial partners" to use the facility in addition to academics. All are searching for breakthroughs that will make large-scale, accelerated quantum supercomputers a reality. The center will run on Nvidia's latest GB200 NVL72 rack-scale systems. With a lot of power in a small space, these systems could "accelerate the adoption of AI algorithms in quantum computing research" and start to solve some of quantum computing's most challenging problems. "The NVAQC is a very special addition to the unique Boston area quantum ecosystem," says Mikhail Lukin, co-director of Harvard Quantum Initiative in Science and Engineering (HQI).
"[It] has the potential to advance the research in areas ranging from quantum error correction to applications of quantum computing systems, accelerating quantum computing research and pulling useful quantum computing closer to reality." Nvidia... Nvidia building quantum computing research center in Boston March 18, 2025 15:32 ET | Source: NVIDIA NVIDIA SAN 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... “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.” SAN JOSE, CA (GTC), Mar 24, 2025 – NVIDIA has revealed plans to establish a research facility in Boston focused on advancing quantum computing technologies. The NVIDIA Accelerated Quantum Research Center (NVAQC) will integrate quantum hardware with AI supercomputers, creating what’s known as accelerated quantum supercomputing. The center aims to address key challenges in quantum computing, such as reducing qubit noise and turning experimental quantum processors into functional tools.
Top innovators in quantum computing, including Quantinuum, Quantum Machines, and QuEra Computing, will collaborate with the NVAQC. They will work alongside researchers from universities like the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems (EQuS) group at the Massachusetts Institute of Technology (MIT). These collaborations aim to drive progress and grow an audience for groundbreaking quantum research. “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.” Through the NVAQC, commercial and academic partners will work with NVIDIA to use NVIDIA GB200 NVL72 rack-scale systems.
This enables complex simulations of quantum systems and the deployment of 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.
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Posted By Kris Stewart | Mar 20, 2025 | AI
Posted by Kris Stewart | Mar 20, 2025 | AI | 0 | Quantum computing isn’t just the future—it’s the next frontier of computational power, and NVIDIA is doubling down on its mission to bring it closer to reality. At the heart of this quantum revolution is the newly unveiled NVIDIA Accelerated Quantum Research Center (NVAQC), a cutting-edge hub where quantum processing units (QPUs) and AI supercompute...
Together, They’re Redefining What It Means To Build A Hybrid
Together, they’re redefining what it means to build a hybrid quantum-classical supercomputer. One of the biggest hurdles in quantum computing? Noise. Qubits, the building blocks of quantum systems, are notoriously finicky. While they need to interact with their environment to function, these interactions often introduce errors that can derail calculations. Enter quantum error correction—a process ...
But Here’s The Catch: Decoding These Errors In Real-time Is
But here’s the catch: decoding these errors in real-time is a computational nightmare. That’s where NVIDIA’s AI supercomputing prowess comes in. The NVAQC will explore how AI can turbocharge decoding, enabling low-latency, parallelized systems that keep quantum noise in check. By leveraging NVIDIA’s GB200 Grace Blackwell Superchips, researchers aim to develop AI-enhanced decoders that can process ...
AI-driven Platform For Life Sciences Research And Discovery Fully Managed
AI-driven platform for life sciences research and discovery Fully managed end-to-end AI platform on leading clouds Explore, test, and deploy AI models and agents Integrate advanced simulation and AI into complex 3D workflows 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 th...
The NVIDIA Accelerated Quantum Research Center, Or NVAQC, Announced Today
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-s...