NVIDIA CUDA-Q Platform Allows Google Quantum AI Researchers to Create Huge Digital Mannequin of Its Quantum Laptop to Remedy Design Challenges
NVIDIA introduced it’s working with Google Quantum AI to speed up the design of its next-generation quantum computing units utilizing simulations powered by the NVIDIA CUDA-Q™ platform.
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 may solely run a sure variety of quantum operations earlier than computations should stop, as a result of what researchers name “noise.”
“The event of commercially helpful quantum computer systems is simply attainable if we are able to scale up quantum {hardware} whereas holding noise in verify,” mentioned Guifre Vidal, analysis scientist from Google Quantum AI. “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 absolutely capturing how qubits inside a quantum processor work together with their setting.
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 fee.
“AI supercomputing energy shall be useful to quantum computing’s success,” mentioned Tim Costa, director of quantum and HPC at NVIDIA. “Google’s use of the CUDA-Q platform demonstrates the central position GPU-accelerated simulations have in advancing quantum computing to assist resolve real-world issues.”
With CUDA-Q and H100 GPUs, Google can carry out absolutely complete, reasonable simulations of units containing 40 qubits — the largest-performed simulations of this sort. The simulation methods offered by CUDA-Q imply noisy simulations that may have taken every week can now run in minutes.
The software program powering these accelerated dynamic simulations shall be publicly out there within the CUDA-Q platform, permitting quantum {hardware} engineers to quickly scale their system designs.
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