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NVIDIA and Google Quantum AI Revolutionize Quantum Computing with CUDA-Q
NVIDIA has partnered with Google Quantum AI to enhance the design of quantum computing devices using NVIDIA's CUDA-Q platform. Google Quantum AI is utilizing the NVIDIA Eos supercomputer to simulate quantum processor physics, addressing hardware limitations caused by "noise. " These simulations, previously costly, are now feasible due to CUDA-Q, leveraging 1, 024 NVIDIA H100 Tensor Core GPUs. This allows Google to simulate 40-qubit devices quickly and effectively. Tim Costa from NVIDIA highlighted the importance of GPU-accelerated simulations in advancing quantum computing.
The technology will be available on the CUDA-Q platform for engineers to use. NVIDIA emphasized that their product statements include forward-looking statements subject to risks and changes, without guarantee of future performance. They also highlighted that product development details are subject to change at NVIDIA's discretion.
Brief news summary
NVIDIA and Google Quantum AI are collaborating to enhance quantum computing design using the CUDA-Q platform. Their joint effort addresses noise issues impacting quantum hardware performance by adopting a hybrid quantum-classical model. This model allows the simulation of quantum processor physics on NVIDIA's Eos supercomputer. Leveraging NVIDIA's accelerated computing technology, the partnership can now examine noise effects on larger quantum chip designs, which was previously cost-prohibitive. With 1,024 NVIDIA H100 Tensor Core GPUs on Eos, Google is capable of executing extensive and rapid quantum simulations at reduced costs. Tim Costa from NVIDIA emphasizes the essential contribution of AI supercomputing to advancing quantum technology. This collaboration enables realistic simulations of 40-qubit devices, significantly cutting down simulation times. NVIDIA plans to make the simulation software available through CUDA-Q, aiming to accelerate quantum hardware development, although future performance and delivery timelines remain uncertain.
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