NVIDIA Accelerates Google Quantum AI Processor Design with CUDA-Q Platform

[NVIDIA Accelerates Google Quantum AI Processor Design with CUDA-Q Platform]

Details of presentation

- Nvidia Announces Accelerating Design Of Quantum Computing Divas In Partnership With Google Quantum AI

- Google Quantum AI uses a hybrid quantum-classical computing platform and NVIDIA Eos supercomputer to simulate the physics of quantum processors

- Current limitations of quantum computing hardware due to a phenomenon researchers call "noise."

- Nvidia's CUDA-Q Platform Will Help Solve This Phenomenon

interpretation

- Currently, quantum computing is not easily increasing the number of qubits due to noise as the qubits, which are the basic units of quantum computing, increase

- Nvidia supports quantum computing, which still has limitations, in two main aspects through its platform called CUDA-Q

- CUDA-Q is a quantum computing version of the platform that plays a similar role to CUDA as we know it before

- CUDA-Q enables CPU, GPU (mainly GPU) to simulate the physical environment of quantum computing that has not yet been developed

There are two main effects from him

1. This allows us to continue to simulate quantum computing hardware that has not yet been developed and help develop quantum computer hardware

2. Although quantum computing has not yet been developed, software for use in quantum computers is developed in advance using the quantum computing environment being simulated on GPUs

Nvidia's Intentions

- In other words, Nvidia helps develop quantum computer hardware that has not yet been developed through current GPU-based supercomputers

- In addition, after simulating a yet-to-be-developed quantum computer based on GPUs, it proactively develops quantum computer software to be used when quantum computers are developed in the future

- Just as CUDA has become a stepping stone for AI programming, quantum software will be preemptively developed based on CUDA-Q and will exert influence even if the quantum computer ecosystem is developed in the future

- In addition, quantum computers will not be used alone, but will be a hybrid form used with CPU and GPU in the future, so even if quantum computer hardware comes out, CUDA will remain key to software development