On November 19, Nvidia, the world’s leading artificial intelligence and graphics processor manufacturer, today announced a strategic partnership with Google Quantum AI to promote the integration and development of quantum computing and artificial intelligence technologies.
Accelerate the design of Google’s next-generation quantum computing devices with simulations powered by the NVIDIA CUDA-Q platform.
, Google Quantum AI is using a hybrid quantum classical computing platform and the Nvidia Eos supercomputer to simulate the physical characteristics of its quantum processors.
This will help overcome the current limitations of quantum computing hardware.
Due to what researchers call “noise,” quantum computing hardware can currently only run a certain number of quantum operations.
Therefore, whether we can make progress in building practical quantum computers ultimately depends on whether we can “tame” noise.
Hartmut Neven, head of Google’s quantum AI division, said: “Only when we can scale the scale of quantum hardware while controlling noise can we develop commercially useful quantum computers.
Using NVIDIA’s accelerated computing, we are exploring the impact of larger and larger quantum chip designs on noise.
“, 
, NVIDIA CEO Jensen Huang said: “AI supercomputing capabilities will help quantum computing design succeed.
Google’s use of the CUDA-Q platform has demonstrated its effectiveness in promoting quantum computing to help solve real-world problems.
GPU-accelerated simulation plays a central role.
“, 
, return to the first electric network home page>,.
