NVIDIA helps solve major challenges in the field of quantum computing

The NVIDIA Accelerated Quantum Research Center provides powerful tools to help solve major challenges in the field of quantum computing.
With the continuous development of quantum computers, they will be integrated with AI supercomputers to form accelerated quantum supercomputers, thereby solving some of the world's most challenging problems.

Integrating quantum processing units (QPUs) into AI supercomputers is key to developing new applications, enabling critical breakthroughs in running future quantum hardware, and promoting progress in quantum error correction and device control.
At last week's NVIDIA GTC Global AI Conference, the NVIDIA Accelerated Quantum Research Center (NVAQC) was officially established with the aim of driving significant progress in these fields. The center is equipped with an NVIDIA GB200 NVL72 system and NVIDIA Quantum-2 InfiniBand platform, and has a supercomputer with 576 NVIDIA Blackwell GPUs dedicated to quantum computing research.
Tim Costa, Senior Director of Computer Aided Engineering, Quantum, and CUDA-X at NVIDIA, said, "The NVIDIA Accelerated Quantum Research Center brings together much-needed and long anticipated tools to extend quantum computing to the next generation of devices. The center will focus on large-scale simulation of quantum algorithms and hardware, tight integration of quantum processors, and training and deployment of quantum AI models
The NVIDIA Accelerated Quantum Research Center will be equipped with a GB200 NVL72 system.
Quantum computing innovation companies such as Quantianum, QuEra, and Quantum Machines, as well as academic partners from the Harvard Quantum Project and the MIT Engineering Quantum Systems Group, will collaborate with NVIDIA on related projects at the center to explore how AI supercomputing can accelerate the development of quantum computing.
William Oliver, the leader of the EQuS group and director of the MIT Quantum Engineering Center, as well as a professor of electrical engineering, computer science, and physics, said, "The NVIDIA Accelerated Quantum Research Center is a powerful tool that will play an important role in driving next-generation research across the entire quantum ecosystem. NVIDIA is a key partner in implementing practical quantum computing
NVIDIA's Accelerated Quantum Research Center has had a significant impact on several major quantum computing challenges.
Using AI supercomputing to protect quantum bits
The interaction between quantum bits is a double-edged sword. Although qubits must interact with the surrounding environment to be controlled and measured, these interactions are also sources of noise, and unnecessary interference can affect the accuracy of quantum computing. Quantum algorithms can only operate normally when noise is effectively controlled.
Quantum error correction provides a solution by encoding noise free logical qubits among multiple noisy physical qubits. By processing the repeated measurement results of these noisy quantum bits, it is possible to identify, track, and correct quantum bit errors without compromising the fragile quantum information required for computation.
The process of determining the location of errors and taking corrective measures is called decoding. Decoding is an extremely challenging task that must be completed by traditional computers in a very short amount of time to prevent noise from getting out of control.
A key goal of NVIDIA's Accelerated Quantum Research Center will be to explore how AI supercomputing can accelerate the decoding process. Studying how to configure quantum hardware within the center will help develop low latency, parallelized, and AI enhanced decoders that run on the NVIDIA GB200 Grace Blackwell supercomputer.
The NVIDIA Accelerated Quantum Research Center will also address other challenges in the field of quantum error correction. QuEra will collaborate with NVIDIA to accelerate the search for new and improved quantum error correction codes, and evaluate the performance of candidate error correction codes through rigorous simulations of complex quantum circuits.
Mikhail Lukin, a professor at Joshua and Beth Friedman University and co director of Harvard HQI, said, "The NVIDIA Accelerated Quantum Research Center will be an important tool for discovering, testing, and improving new quantum error correcting codes and decoders, taking the entire industry to a new stage of practical quantum computing
To accelerate the development and application of quantum supercomputers
Most practical quantum algorithms rely equally on classical computing and quantum computing resources, thus requiring an accelerated quantum supercomputer that can unify the two types of hardware.
For example, starting quantum computing typically requires the output results of classical supercomputers. The NVIDIA Accelerated Quantum Research Center provides the heterogeneous computing infrastructure needed to develop and improve such hybrid algorithms.
Accelerated quantum supercomputers will connect quantum processors and classical processors to run hybrid algorithms.
The NVIDIA Accelerated Quantum Research Center will also explore new AI based compilation technologies that have the potential to accelerate the runtime of all quantum algorithms, including a collaborative project with Quantinuum. Quantinuum will provide its hardware and simulators through the NVIDIA CUDA-Q platform, building upon its previous integration work with NVIDIA. At present, CUDA-Q users can obtain access to Quantinuum's System H1 QPU hardware and emulator for a period of 90 days.
We are delighted 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 technology, we are breaking the boundaries of quantum classical hybrid computing and opening up exciting new possibilities
Quantum processing unit integration
Integrating quantum hardware with AI supercomputing is one of the main obstacles to achieving practical quantum hardware.
The requirements for this integration are extremely demanding. The decoding required for quantum error correction can only be effective when transmitting millions of quantum bits of data with ultra-low latency between quantum hardware and classical hardware.
Quantum Machines and NVIDIA will collaborate at the center to jointly develop and optimize new controller technologies to support fast, high bandwidth interfaces between quantum processors and GB200 supercomputers.
We are pleased to see NVIDIA continuously increasing its investment to accelerate the implementation of practical quantum computers and provide researchers with the most advanced infrastructure to drive the development of quantum classical computing, "said Itamar Sivan, CEO of Quantum Machines
The NVIDIA DGX Quantum system includes an NVIDIA GH200 microchip and an OPX1000 control system for Quantum Machines.
The key to integrating quantum hardware and classical hardware is to create a platform that allows researchers and developers to quickly switch between these two distinct computing paradigms in a single application. The NVIDIA CUDA-Q platform will serve as an entry point, allowing researchers to fully utilize the quantum classical computing integration of NVIDIA Accelerated Quantum Research Center.
Based on tools such as NVIDIA DGX Quantum (a reference architecture for integrating quantum and classical hardware) and CUDA-Q, the NVIDIA Accelerated Quantum Research Center is expected to become a hub for the next generation of quantum computing, driving the gradual development of quantum bits into influential quantum computers.