NVIDIA has announced a collaboration with the Google Quantum AI team to assist Google in improving the creation of quantum computers by lending their own supercomputer, the NVIDIA Eos, to run simulators that model quantum processing through the CUDA-Q platform.
In the past, Google has conducted extensive research in the field of quantum computing. However, the challenge arises in building high-qubit quantum computers and running continuous processing, as noise interference increasingly hinders further processing. This limitation poses a significant obstacle in the current development of quantum computers.
On NVIDIA’s end, their all-encompassing simulator features quantum processing unit emulation software, previously known as NVIDIA CUDA Quantum and now referred to as CUDA-Q. Both companies have come together to enable Google to simulate the operation of a 40-qubit quantum computer on NVIDIA’s Eos supercomputer (this simulator uses 1,024 GPUs of the H100 series), marking the largest QPU chip simulation ever conducted.
Apart from collaborating with Google, NVIDIA has also partnered with various companies and research institutions in the field of quantum computing, including Anyon, Fermioniq, QuEra, Quantum Brilliance, Yale University, Moderna, HPE, and Algorithmiq.
TLDR: NVIDIA collaborates with Google Quantum AI to enhance quantum computer development by simulating a 40-qubit quantum computer on NVIDIA’s supercomputer, Eos, through the CUDA-Q platform. Additionally, NVIDIA partners with other companies and research institutions like Anyon, Fermioniq, and QuEra in the quantum computing space.
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