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Nvidia it’s working with Google Quantum AI to speed up the design of its next-generation quantum computing units utilizing simulations powered by Nvidia.
Google Quantum AI is utilizing the hybrid quantum-classical computing platform and the Nvidia Eos supercomputer to simulate the physics of its quantum processors. It will assist overcome the present limitations of quantum computing {hardware}, which might solely run a sure variety of quantum operations earlier than computations should stop, as a consequence of what researchers name “noise.”
“The event of commercially helpful quantum computer systems is just doable if we will scale
up quantum {hardware} whereas maintaining noise in verify,” mentioned Guifre Vidal, analysis scientist from
Google Quantum AI, in an announcement. “Utilizing Nvidia accelerated computing, we’re exploring the noise
implications of more and more bigger quantum chip designs.”
Understanding noise in quantum {hardware} designs requires complicated dynamical simulations able to totally capturing how qubits inside a quantum processor work together with their atmosphere.
These simulations have historically been prohibitively computationally costly to pursue. Utilizing the CUDA-Q platform, nevertheless, Google can make use of 1,024 Nvidia H100 Tensor Core GPUs on the Nvidia Eos supercomputer to carry out one of many world’s largest and quickest dynamical simulation of quantum units — at a fraction of the price.
“AI supercomputing energy can be useful to quantum computing’s success,” mentioned Tim Costa, director of quantum and HPC at Nvidia, in an announcement. “Google’s use of the CUDA-Q platform demonstrates the central position GPU-accelerated simulations have in advancing quantum computing to assist remedy real-world issues.”
With CUDA-Q and H100 GPUs, Google can carry out totally complete, life like simulations of units containing 40 qubits – the biggest carried out simulations of this type. The simulation methods offered by CUDA-Q imply noisy simulations that will’ve taken every week can now run in minutes.
The software program powering these accelerated dynamic simulations can be publicly accessible within the CUDA-Q platform, permitting quantum {hardware} engineers to quickly scale their system designs.
