The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum computing with AI and machine learning. Quantum Circuits announced that its dual ...

This repo contains some CUDA C++ code examples that demonstrate how to use GPUs for parallel computing. Covering topics such as dynamic parallelization, Optimization ...

Integrated quantum computing company Quantinuum Ltd. today unveiled new open-source software tools designed to accelerate software development for quantum computing with a more intuitive programming ...

NVIDIA's CUDA Toolkit 13.0 introduces innovative features like tile-based programming and unified Arm platform support, enhancing developer productivity and GPU performance. The latest iteration of ...

He worked as an architect at AMD and Apple in the past, and successfully promoted the development of many display applications. He later left Intel in March 2023.Raja koduri, announced earlier on his ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...

HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...

The MarketWatch News Department was not involved in the creation of this content. Integration of the Company's logical-qubit compiler with NVIDIA CUDA-Q unlocks new levels of performance and ...

Integration of the Company's logical-qubit compiler with NVIDIA CUDA-Q unlocks new levels of performance and scalability for hybrid quantum-classical applications, accelerating the path to quantum ...