Paired with NVQLink is CUDA-Q, which provides a programming model where quantum processors (QPU), GPUs, and CPUs all work together in the same application. This is necessary because most useful quantum algorithms will rely on traditional computing for tasks like control, optimization, and error correction.
The first quantum computing company to support NVQLink will be Quantinuum, with its Helios quantum processor. Nvidia says that by uniting quantum processors with Nvidia accelerated computing, NVQLink’s open system architecture overcomes control and error-correction challenges and enables the development of hybrid quantum-classical applications. It delivers 40 petaflops of AI performance at FP4 precision with a GPU-QPU throughput of 400 Gb/s and a latency of less than four microseconds.
Overall, Nvidia has an impressive lineup of science-oriented firms and institutes lining up to use NVQLink. They include science and technology institutes in Japan, Korea, Taiwan, Singapore and Australia in the APAC region.
