World’s Leading Scientific Supercomputing Centers Adopt NVIDIA NVQLink to Integrate Grace Blackwell Platform With Quantum Processors

Rhea-AI Summary

NVIDIA (NASDAQ:NVDA) announced that NVQLink, a universal interconnect for quantum-classical systems, is being adopted by more than a dozen global supercomputing centers and national labs to link quantum processors with NVIDIA GPUs via the CUDA-Q platform.

NVQLink delivers 40 petaflops AI performance at FP4, a GPU–QPU throughput of 400 Gb/s and latency under 4 microseconds. Quantinuum’s Helios QPU used NVQLink to demonstrate the world’s first scalable real-time decoder with a 67 microsecond reaction time (32x faster than a 2 ms requirement).

Positive

• Adoption by >12 global supercomputing centers and national labs
• Provides 40 petaflops AI performance at FP4 precision
• GPU–QPU throughput of 400 Gb/s with <4 μs latency
• Quantinuum Helios demo: scalable decoder reaction time 67 μs (32x faster than 2 ms)

Negative

• None.

Insights

Systems Architect

NVIDIA's NVQLink adoption by global supercomputing centers signals a practical advance in quantum-classical integration.

NVIDIA presents NVQLink as an open interconnect that links quantum processors and GPUs, claiming adoption by more than a dozen centers across Asia, Europe and the U.S. The release lists concrete performance figures: 40 petaflops of AI performance at FP4 precision, a GPU–QPU throughput of 400 Gb/s, and latency of less than four microseconds. These technical metrics define the intended system-level capability and the kinds of workloads the link targets.

Key dependencies include the stated tight integration with quantum control systems and the NVIDIA CUDA-Q software stack, which provide real-time APIs for developer access. The announcement ties availability to sign-ups and cites collaborations with specific supercomputing centers and quantum builders, which suggests phased deployment rather than immediate, universal availability. Watch for early integration reports and latency/throughput validation in the coming months after the Nov. 17, 2025 announcement.

Quantum Integration Analyst

The NVQLink claim of real-time quantum error correction integration is notable and supported by a Quantinuum demo.

The release states Quantinuum's Helios QPU used NVQLink plus CUDA-Q to run real-time error correction, reporting a decoder reaction time of 67 microseconds versus Helios’ two-millisecond requirement, described as exceeding it by 32x. The announcement frames this as the first scalable real-time decoder demonstration for qLDPC codes, showing an operational example of hybrid quantum–classical control enabled by the interconnect and software.

Risks and watch items are explicit in the text: broader scalability depends on continued integration across varied quantum processors and supercomputing control systems named in the release, and on follow-up validation of the quoted metrics in operational environments. Track reports from the listed centers and any published performance data or reproducible benchmarks over the next quarters after the Nov. 17, 2025 disclosure.

News Summary:

• NVIDIA NVQLink to be broadly adopted by more than a dozen supercomputing centers across the globe, joining U.S. labs and quantum builders to advance quantum computing.
• NVQLink connects quantum processors with NVIDIA accelerated computing, enabling large-scale quantum-classical workflows powered by the NVIDIA CUDA-Q platform.
• A first-of-its-kind open and universal interconnect architecture, NVQLink provides the critical link the world’s supercomputing centers need to integrate a rich array of quantum processors.
• Quantum computing company Quantinuum’s latest Helios quantum processor uses NVQLink to integrate NVIDIA GPUs and demonstrate the first scalable real-time decoding for quantum error correction.

ST. LOUIS, Nov. 17, 2025 (GLOBE NEWSWIRE) -- SC25 -- NVIDIA today announced that the world’s leading scientific computing centers are adopting NVIDIA^® NVQLink™, a first-of-its-kind, universal interconnect for linking quantum processors with state-of-the-art accelerated computing.

Tapping the low-latency, high-throughput interconnect, more than a dozen supercomputing centers and national research institutions across Asia and Europe are joining U.S. facilities in advancing their ability to research, develop and harness the integration of quantum and classical hardware.

“In the future, supercomputers will be quantum-GPU systems — combining the unique strengths of each: the quantum computer’s ability to simulate nature and the GPU’s programmability and massive parallelism,” said Jensen Huang, founder and CEO of NVIDIA. “NVQLink with CUDA-Q is the gateway to that future — uniting quantum and GPU computing into a single, coherent system to push the frontier of what’s computable and unlocking new scientific discoveries.”

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.

NVQLink allows the coupling of quantum processors and GPUs via tight integration with quantum control systems and GPU supercomputing within the NVIDIA CUDA-Q™ software platform. NVQLink was designed in collaboration with quantum processor and controller builders, as well as supercomputing centers across the world, including in Asia, such as:

• Japan’s Global Research and Development Center for Business by Quantum-AI technology (G-QuAT) at the National Institute of Advanced Industrial Science and Technology (AIST)
• Japan’s RIKEN Center for Computational Science
• Korea Institute of Science and Technology Information (KISTI)
• Taiwan’s National Center for High-Performance Computing (NCHC)
• Singapore’s National Quantum Computing Hub (a joint initiative of Singapore’s Centre for Quantum Technologies, A*STAR Institute of High Performance Computing and National Supercomputing Centre Singapore)
• Australia’s Pawsey Supercomputing Research Centre
  

Europe and the Middle East are also embracing quantum computing research with supercomputing and quantum technology centers supporting NVQLink, including:

• CINECA - Italy
• DCAI, operator of Denmark’s AI Supercomputer
• France’s Grand Équipement National de Calcul Intensif (GENCI)
• The Czech Republic’s IT4Innovations National Supercomputing Center (IT4I)
• Germany’s Jülich Supercomputing Centre (JSC)
• The U.K.’s National Quantum Computing Centre (NQCC)
• Poland’s Poznań Supercomputing and Networking Center (PCSS)
• Technology Innovation Institute (TII), UAE
• Saudi Arabia’s King Abdullah University of Science and Technology (KAUST)
  

They join the U.S. national laboratories that recently announced integration with NVQLink technology for cutting-edge research, including:

• Brookhaven National Laboratory
• Fermi National Accelerator Laboratory
• Lawrence Berkeley National Laboratory
• Los Alamos National Laboratory
• MIT Lincoln Laboratory
• National Energy Research Scientific Computing Center
• Oak Ridge National Laboratory
• Pacific Northwest National Laboratory
• Sandia National Laboratories
  

Real-World Hybrid Quantum-Classical Applications
Quantinuum recently announced that its latest Helios QPU, and future generations of its quantum processors, will be integrated with NVIDIA GPUs through NVQLink and will draw on the power of NVIDIA CUDA-Q to orchestrate quantum error correction.

NVQLink and CUDA-Q allowed the deployment of quantum error-correction techniques to successfully protect the delicate quantum information within the Helios QPU from noise, or unwanted disturbances that cause errors in quantum systems.

This demonstration is the world’s first real-time use of a scalable decoder for a class of quantum error-correction codes known as qLDPC codes. The Quantinuum team demonstrated active error correction and decoding with a decoder implementation that achieved a reaction time of 67 microseconds, exceeding Helios’ two-millisecond requirement by 32x. Key to achieving this result was NVQLink’s ability to provide a flexible and configurable decoder capable of massive parallelism.

The microsecond latencies and extremely high throughput provided by NVQLink are made accessible to developers through real-time application programming interfaces in NVIDIA CUDA-Q. This lets scientists and developers easily build and test approaches to quantum error correction and quantum-GPU applications within a single programming environment.

In addition, NVQLink’s use of Ethernet allows researchers to easily scale the classical compute they draw on as quantum processors and applications expand.

Availability
Quantum builders and supercomputing centers interested in NVIDIA NVQLink can sign up for access on this webpage.

Learn more about how NVIDIA NVQLink connects quantum processors with GPU-powered supercomputers on the NVIDIA technical blog.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Alex Shapiro
NVIDIA Public Relations
1-415-608-5044
ashapiro@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: in the future, supercomputers being quantum-GPU systems — combining the unique strengths of each: the quantum computer’s ability to simulate nature and the GPU’s programmability and massive parallelism; the benefits, impact, performance, and availability of NVIDIA’s products, services, and technologies; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA-Q and NVQLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/3b4883cd-5826-445a-b891-5b42a7b4d22c

FAQ

What is NVIDIA NVQLink and how does it relate to NVDA stock?

NVQLink is NVIDIA’s universal interconnect for linking quantum processors with GPUs via CUDA-Q; it is a technology adoption update for NVIDIA (NVDA) rather than financial guidance.

Which supercomputing centers adopted NVQLink on November 17, 2025?

More than a dozen centers across Asia, Europe, the Middle East and U.S. national labs, including AIST G-QuAT, RIKEN, KISTI, CINECA, JSC, NQCC and multiple U.S. national laboratories.

What performance metrics did NVIDIA cite for NVQLink on Nov 17, 2025?

NVQLink delivers 40 petaflops AI at FP4, 400 Gb/s GPU–QPU throughput and latency below 4 microseconds.

How did Quantinuum use NVQLink with its Helios quantum processor?

Quantinuum integrated Helios with NVIDIA GPUs via NVQLink to run a scalable real-time decoder achieving a 67 μs reaction time for quantum error correction.

Does NVQLink support real-time quantum error correction for developers?

Yes; NVQLink exposes microsecond latencies and high throughput through real-time APIs in NVIDIA CUDA-Q to enable error-correction workflows.