Jensen Huang [1]unveiled NVQLink at Nvidia's Washington conference on Tuesday. The interconnect links quantum processors to the AI supercomputers they require to function effectively. Nvidia is not building its own quantum computers but is positioning itself as critical infrastructure for the technology's future. Quantum processors harness principles of quantum physics to solve problems classical computers cannot address, but they need classical supercomputers to perform calculations beyond their capability and to correct the errors that naturally occur in their outputs.

Tim Costa, Nvidia's general manager of industrial engineering and quantum, said AI will be necessary for full-scale error correction. Earlier attempts to integrate quantum processors with AI supercomputers failed to deliver the speed and scale needed for fast error correction at scale. Nvidia developed NVQLink with more than a dozen quantum companies including IonQ, Quantinuum and Infleqtion and worked with national labs including Sandia, Oak Ridge and Fermi. The interconnect operates on open architecture and works across different quantum modalities including trapped ion, superconducting and photonic systems.

Costa declined to predict when quantum computing will produce meaningful commercial value, though some quantum companies estimate two to four years.



[1] https://nvidianews.nvidia.com/news/nvidia-nvqlink-quantum-gpu-computing