Nvidia has announced NVQLink, an open system architecture designed to tightly couple the extreme performance of GPU computing with quantum processors in order to build accelerated quantum supercomputers. The initiative targets next-generation work on quantum computing by creating a direct and cohesive link between high-performance GPUs and quantum hardware, positioning NVQLink as a foundational piece for systems that combine both compute paradigms.
The development of NVQLink was guided by researchers from leading supercomputing centers at prominent U.S. institutions. Participating organizations include Brookhaven National Laboratory, Fermi Laboratory, Lawrence Berkeley National Laboratory (Berkeley Lab), Los Alamos National Laboratory, MIT Lincoln Laboratory, the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Sandia National Laboratories. Their involvement underscores the architecture’s alignment with real-world research needs across multiple scientific domains and facilities.
According to Nvidia, NVQLink provides an open approach to quantum integration. It supports a broad set of stakeholders, including 17 quantum processing unit builders and five controller builders, alongside nine U.S. national laboratories. This scope is intended to accelerate development by enabling a wide range of quantum hardware and control systems to interface with GPU-based infrastructure, creating a pathway for more coordinated experimentation and system design.
By connecting quantum processors with GPU computing under an open system architecture, NVQLink aims to help researchers and institutions move faster on quantum computing projects. The combination of high-performance GPUs and quantum processors, coupled with guidance from national labs and support for dozens of builders and controllers, positions the architecture to serve as a shared foundation for accelerated quantum supercomputers. While technical specifics were not detailed, the emphasis on openness and cross-institutional participation signals an effort to advance quantum computing through collaborative integration with established GPU capabilities.
