NVIDIA press release, NVIDIA accelerates the design of Google Quantum AI processors with quantum device physics simulation.

With the NVIDIA CUDA-Q platform, Google Quantum AI researchers can now create large-scale digital models of quantum computers and solve design challenges.

NVIDIA today announced a collaboration with Google Quantum AI to accelerate the design of next-generation quantum computing devices using simulations leveraging the NVIDIA CUDA-Q ™ platform.

Google Quantum AI, using a hybrid quantum classical computing platform and NVIDIA Eos supercomputer, is simulating the physics of quantum processors. This overcomes current limitations of quantum computing hardware, where due to what researchers call "noise", a certain number of quantum operations can only be run, and computations need to be stopped.
"The development of commercially useful quantum computers will only be possible if quantum hardware can be scaled up while suppressing noise," said Guifre Vidal, a research scientist at Google Quantum AI. "Using NVIDIA's high-speed computing, we are investigating the impact of noise on the increasingly larger quantum chip designs."
To understand noise in quantum hardware design, complex dynamic simulations that fully capture how quantum bits interact with the environment inside the quantum processor are necessary.

Traditionally, such simulations have been very costly to run. However, by using the CUDA-Q platform, Google can leverage 1,024 NVIDIA H100 Tensor Core GPUs on the NVIDIA Eos supercomputer to run dynamic simulations of quantum devices, making it one of the world's largest and fastest simulations at a minimal cost.

"The power of AI supercomputing will contribute to the success of quantum computing," said Tim Costa, Director of Quantum and HPC at NVIDIA. "The use of Google's CUDA-Q platform demonstrates that GPU-accelerated simulations are advancing quantum computing and playing a central role in solving real-world problems."

With CUDA-Q and H100 GPUs, Google can perform comprehensive and realistic simulations of devices with 40 quantum bits, the largest scale of this type of simulation. The simulation technology provided by CUDA-Q allows noisy simulations that previously took a week to run to be completed in minutes.
The software for running these accelerated dynamic simulations is publicly available on the CUDA-Q platform, enabling quantum hardware engineers to quickly expand system designs.

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