NVIDIA has launched the NVIDIA Accelerated Quantum Research Center (NVAQC) to accelerate progress in quantum computing by integrating quantum processing units (QPUs) with AI supercomputers. Announced at the NVIDIA GTC global AI conference, the center will house a supercomputer built on the NVIDIA GB200 NVL72 system and NVIDIA Quantum-2 InfiniBand networking platform. The system includes 576 NVIDIA Blackwell GPUs and is designed for quantum computing research, including large-scale quantum simulations, quantum-classical hardware integration, and AI model training for quantum applications.
NVIDIA is collaborating with quantum computing leaders such as Quantinuum, QuEra, Quantum Machines, Harvard Quantum Initiative, and MIT’s Engineering Quantum Systems group. These partnerships will focus on solving key quantum computing challenges like quantum error correction, which is critical to stabilizing qubits against environmental noise. AI supercomputing resources at NVAQC will be used to develop low-latency, parallelized decoders and to explore new quantum error correction codes. Additionally, the center will advance research on hybrid quantum-classical algorithms and develop AI-driven compilation techniques to improve quantum algorithm performance.
A major focus of the NVAQC is enabling rapid integration between quantum and classical hardware, addressing the need for ultrafast data transfer between millions of qubits and AI accelerators. Quantum Machines will collaborate with NVIDIA to develop high-bandwidth control systems linking quantum processors to GB200 superchips. Researchers will leverage NVIDIA’s CUDA-Q platform and DGX Quantum reference architecture to advance quantum-classical systems that underpin next-generation quantum computing.
• NVIDIA unveils the NVIDIA Accelerated Quantum Research Center (NVAQC) at GTC.
• The center features a GB200 NVL72 system with 576 NVIDIA Blackwell GPUs and NVIDIA Quantum-2 InfiniBand.
• Partners include Quantinuum, QuEra, Quantum Machines, Harvard Quantum Initiative, and MIT’s Engineering Quantum Systems group.
• Research focus areas: quantum error correction, hybrid quantum-classical algorithms, AI-based quantum compilers, and QPU-classical hardware integration.
• AI supercomputing at the NVAQC will power accelerated decoding, quantum circuit simulations, and AI model training using NVIDIA Grace Blackwell Superchips.
“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.
