NVIDIA today announced it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q™ platform.| NVIDIA Newsroom
| nvidia.github.io
To develop CUDA-Q applications using Python,| nvidia.github.io
CUDA-Q¶| nvidia.github.io
NVIDIA CUDA-Q (formerly NVIDIA CUDA Quantum) is an open-source programming model for building hybrid-quantum classical applications that take full advantage of CPU, GPU, and QPU compute abilities.| NVIDIA Technical Blog
The development of useful quantum computing is a massive global effort, spanning government, enterprise, and academia. The benefits of quantum computing could help solve some of the most challenging…| NVIDIA Technical Blog
Improving sources of sustainable energy is a worldwide problem with environmental and economic security implications. Ying-Yi Hong, distinguished professor of Power Systems and Energy at Chung Yuan…| NVIDIA Technical Blog
Quantum dynamics describes how complex quantum systems evolve in time and interact with their surroundings. Simulating quantum dynamics is extremely difficult yet critical for understanding and…| NVIDIA Technical Blog