As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world's hardest problems.
Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error correction and device control.
The NVIDIA Accelerated Quantum Research Center, or NVAQC, announced today at the NVIDIA GTC global AI conference, is where these developments will happen. With an NVIDIA GB200 NVL72 system and the NVIDIA Quantum-2 InfiniBand networking platform, the facility will house a supercomputer with 576 NVIDIA Blackwell GPUs dedicated to quantum computing research.
The NVAQC draws on much-needed and long-sought-after tools for scaling quantum computing to next-generation devices, said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X at NVIDIA. The center will be a place for large-scale simulations of quantum algorithms and hardware, tight integration of quantum processors, and both training and deployment of AI models for quantum.
The NVAQC will host a GB200 NVL72 system. Quantum computing innovators like Quantinuum, QuEra and Quantum Machines, along with academic partners from the Harvard Quantum Initiative and the Engineering Quantum Systems group at the MIT Center for Quantum Engineering, will work on projects with NVIDIA at the center to explore how AI supercomputing can accelerate the path toward quantum computing.
The NVAQC is a powerful tool that will be instrumental in ushering in the next generation of research across the entire quantum ecosystem, said William Oliver, professor of electrical engineering and computer science, and of physics, leader of the EQuS group and director of the MIT Center for Quantum Engineering. NVIDIA is a critical partner for realizing useful quantum computing.
There are several key quantum computing challenges where the NVAQC is already set to have a dramatic impact.
Protecting Qubits With AI Supercomputing Qubit interactions are a double-edged sword. While qubits must interact with their surroundings to be controlled and measured, these same interactions are also a source of noise - unwanted disturbances that affect the accuracy of quantum calculations. Quantum algorithms can only work if the resulting noise is kept in check.
Quantum error correction provides a solution, encoding noiseless, logical qubits within many noisy, physical qubits. By processing the outputs from repeated measurements on these noisy qubits, it's possible to identify, track and correct qubit errors - all without destroying the delicate quantum information needed by a computation.
The process of figuring out where errors occurred and what corrections to apply is called decoding. Decoding is an extremely difficult task that must be performed by a conventional computer within a narrow time frame to prevent noise from snowballing out of control.
A key goal of the NVAQC will be exploring how AI supercomputing can accelerate decoding. Studying how to collocate quantum hardware within the center will allow the development of low-latency, parallelized and AI-enhanced decoders, running on NVIDIA GB200 Grace Blackwell Superchips.
The NVAQC will also tackle other challenges in quantum error correction. QuEra will work with NVIDIA to accelerate its search for new, improved quantum error correction codes, assessing the performance of candidate codes through demanding simulations of complex quantum circuits.
The NVAQC will be an essential tool for discovering, testing and refining new quantum error correction codes and decoders capable of bringing the whole industry closer to useful quantum computing, said Mikhail Lukin, Joshua and Beth Friedman University Professor at Harvard and a codirector of the Harvard Quantum Initiative.
Developing Applications for Accelerated Quantum Supercomputers The majority of useful quantum algorithms draw equally from classical and quantum computing resources, ultimately requiring an accelerated quantum supercomputer that unifies both kinds of hardware.
For example, the output of classical supercomputers is often needed to prime quantum computations. The NVAQC provides the heterogeneous compute infrastructure needed for research on developing and improving such hybrid algorithms.
Accelerated quantum supercomputers will connect quantum and classical processors to execute hybrid algorithms. New AI-based compilation techniques will also be explored at the NVAQC, with the potential to accelerate the runtime of all quantum algorithms, including through work with Quantinuum. Quantinuum will build on its previous integration work with NVIDIA, offering its hardware and emulators through the NVIDIA CUDA-Q platform. Users of CUDA-Q are currently offered access to Quantinuum's System H1 QPU hardware and emulator for 90 days.
We're excited to collaborate with NVIDIA at this center, said Rajeeb Hazra, president and CEO of Quantinuum. By combining Quantinuum's powerful quantum systems with NVIDIA's cutting-edge accelerated computing, we're pushing the boundaries of hybrid quantum-classical computing and unlocking exciting new possibilities.
QPU Integration Integrating quantum hardware with AI supercomputing is one of the major remaining hurdles on the path to running useful quantum hardware.
The requirements of such an integration can be extremely demanding. The decoding required by quantum error correction can only function if data from millions of qubits can be sent between quantum and classical hardware at ultralow latencies.
Quantum Machines will work with NVIDIA at the NVAQC to develop and hone new controller technologies supporting rapid, high-bandwidth interfac
More from Nvidia
10/09/2025
GeForce NOW Blackwell RTX 5080-class SuperPODs are now rolling out, unlocking a new level of ultra high-performance, cinematic cloud gaming.
GeForce NOW Ultima...
09/09/2025
Inference has emerged as the new frontier of complexity in AI. Modern models are...
09/09/2025
As large language models (LLMs) grow larger, they get smarter, with open models from leading developers now featuring hundreds of billions of parameters. At the...
09/09/2025
At this week's AI Infrastructure Summit in Silicon Valley, NVIDIA's VP o...
09/09/2025
Inference performance is critical, as it directly influences the economics of an AI factory. The higher the throughput of AI factory infrastructure, the more to...
09/09/2025
At this week's IAA Mobility conference in Munich, NVIDIA Vice President of A...
09/09/2025
ComfyUI - an open-source, node-based graphical interface for running and buildin...
04/09/2025
NVIDIA today announced new AI education support for K-12 programs at a White House event to celebrate public-private partnerships that advance artificial intell...
04/09/2025
Editor's note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copi...
04/09/2025
NVIDIA Blackwell RTX is coming to the cloud on Wednesday, Sept. 10 - an upgrade ...
03/09/2025
3D artists are constantly prototyping.
In traditional workflows, modelers must build placeholder, low-fidelity assets to populate 3D scenes, tinkering and adju...
02/09/2025
For more than a century, meteorologists have chased storms with chalkboards, equ...
28/08/2025
Brace yourself, COGs - the Locusts aren't the only thing rising up. The Coal...
28/08/2025
Last week at Gamescom, NVIDIA announced the winners of the NVIDIA and ModDB RTX ...
27/08/2025
AI models are advancing at a rapid rate and scale.
But what might they lack that (most) humans don't? Common sense: an understanding, developed through rea...
25/08/2025
Robots around the world are about to get a lot smarter as physical AI developers...
25/08/2025
As autonomous vehicle systems rapidly grow in complexity, equipped with reasonin...
22/08/2025
As the latest member of the NVIDIA Blackwell architecture family, the NVIDIA Blackwell Ultra GPU builds on core innovations to accelerate training and AI reason...
22/08/2025
AI reasoning, inference and networking will be top of mind for attendees of next...
21/08/2025
Japan is once again building a landmark high-performance computing system - not ...
21/08/2025
From AI assistants doing deep research to autonomous vehicles making split-second navigation decisions, AI adoption is exploding across industries.
Behind ever...
21/08/2025
Across the globe, AI factories are rising - massive new data centers built not to serve up web pages or email, but to train and deploy intelligence itself. Inte...
21/08/2025
Get a glimpse into the future of gaming.
The NVIDIA Blackwell RTX architecture is coming to GeForce NOW in September, marking the service's biggest upgrade...
20/08/2025
Editor's note: This blog is a part of Into the Omniverse, a series focused o...
18/08/2025
With over 175 games now supporting NVIDIA DLSS 4 - a suite of advanced, AI-power...
18/08/2025
At Gamescom, NVIDIA is releasing its first major update to Project G Assist - an...
15/08/2025
Of around 7,000 languages in the world, a tiny fraction are supported by AI lang...
14/08/2025
NVIDIA is partnering with the U.S. National Science Foundation (NSF) to create a...
14/08/2025
Warhammer 40,000: Dawn of War - Definitive Edition is marching onto GeForce NOW,...
13/08/2025
Black Forest Labs' FLUX.1 Kontext [dev] image editing model is now available as an NVIDIA NIM microservice.
FLUX.1 models allow users to edit existing imag...
11/08/2025
Using NVIDIA digital twin technologies, Amazon Devices & Services is powering bi...
11/08/2025
Packing the power of the NVIDIA Blackwell architecture in compact, energy-effici...
11/08/2025
Physical AI is becoming the foundation of smart cities, facilities and industria...
07/08/2025
This GFN Thursday brings an offer members can't refuse - 2K's highly ant...
05/08/2025
Two new open-weight AI reasoning models from OpenAI released today bring cutting...
05/08/2025
In collaboration with OpenAI, NVIDIA has optimized the company's new open-so...
05/08/2025
NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA D...
05/08/2025
NVIDIA GPUs are at the heart of modern computing. They're used across industries - from healthcare and finance to scientific research, autonomous systems an...
31/07/2025
August brings new levels of gaming excitement on GeForce NOW, with 2,300 titles now available to stream in the cloud.
Grab a controller and get ready for epic ...
31/07/2025
Interest in generative AI is continuing to grow, as new models include more capabilities. With the latest advancements, even enthusiasts without a developer bac...
29/07/2025
FourCastNet3 (FCN3) is the latest AI global weather forecasting system from NVID...
28/07/2025
The electrical grid is designed to support loads that are relatively steady, such as lighting, household appliances, and industrial machines that operate at con...
24/07/2025
For media company Black Mixture, AI isn't just a tool - it's an entire p...
24/07/2025
Sharpen the blade and brace for a journey steeped in myth and mystery. WUCHANG: Fallen Feathers has launched in the cloud.
Ride in style with skateboarding leg...
23/07/2025
In today's fast-evolving digital landscape, marketing teams face increasing ...
22/07/2025
Editor's note: This post is part of the AI On blog series, which explores th...
17/07/2025
Listen up citizens, the law is back and patrolling the cloud. Nacon's RoboCop Rogue City - Unfinished Business launches today in the cloud, bringing justice...
15/07/2025
Submissions for NVIDIA's Plug and Play: Project G-Assist Plug-In Hackathon a...
14/07/2025
This month, NVIDIA founder and CEO Jensen Huang promoted AI in both Washington, D.C. and Beijing - emphasizing the benefits that AI will bring to business and s...
As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world's hardest problems.
