NVIDIA will build a Computer Research Center quantum accelerated


Nvidia said he is building a Boston -based research center to provide avant -garde technologies to advance quantum computing.

The Quantum Research Center of NVIDIA, or NVAQC, will integrate the leader quantum hardware with AI supercomputers, allowing what is known as accelerated quantum supercomputing. The NVAQC will help solve the most challenging problems of quantum computing, from addressing Qbit noise to the transformation of experimental quantum processors into practical devices.

Building this new center seems to be politically symbolic. The Trump administration has been hostile with large companies that build anything in the high seas. By creating an important new center in the US, Nvidia can show that it is creating US jobs in a technology field that is essential for the competitiveness of the United States.

The main innovators of quantum computing, including Quantinuum, Quantum Machines and Quera Computing, will take advantage of NVAQC to boost progress through collaborations with researchers from leading universities, such as the Harvard Quantum initiative in Science and Engineering (HQI) and the Quantum Systems engineering group (EQUS) at the Massachusetts Institute of Technology (MIT).

“Quantum computing will increase IA supercomputers to address some of the most important problems in the world, from the discovery of drugs to the development of materials,” said Jensen Huang, founder and CEO of Nvidia, in a statement. “Working with the broader quantum research community to advance the Cuda-Quantum hybrid computing, the Quantum Research Center of Accelerated Nvidia is where advances will be made to create accelerated quantum supercomputers on a large scale, useful.”

Huang made the announcement in Nvidia GTC 2025, which extends until March 21.

Propel quantum innovation

Through the NVAQC, commercial and academic partners will work with NVIDIA to use Rack Nvidia GB200 NVL72, or powerful hardware for quantum computing applications. This allows complex simulations of quantum systems and the implementation of the low latency quantum hardware control algorithms for the correction of quantum errors. NVIDIA GB200 NVL72 systems will also accelerate the adoption of AI algorithms in quantum computing research.

To address the challenges of integrating GPU and QPU hardware, the NVAQC will use the NVIDIA CUDA-Q ™ quantum development platform, which allows researchers to develop new algorithms and quantum hybrid applications.

The HQI, a community of researchers dedicated to advancing in the science and engineering of quantum systems and their applications, will collaborate with the NVAQC to advance their research on next -generation quantum computing technologies.

“The NVAQC is a very special addition to the unique quantum ecosystem of the Boston area, including leading university groups in words and starting companies,” said Mikhail Lukin, Harvard professor and HQI co -director, in a statement. “The quantum and classic accelerated computing technologies that NVIDIA is gathering has the potential to advance research in areas ranging from the correction of quantum errors to the applications of quantum computer systems, accelerating quantum computing research and attracting useful quantum computer science closer to reality.”

Researchers from the EQUS group, a member of the MIT Center for Quantum Engineering, which serves as a center for research, education and participation in quantum engineering, will use NVAQC to develop techniques such as the correction of quantum errors.

“The Quantum Research Center of NVIDIA will provide EQUS group researchers with unprecedented access to technologies and the experience necessary to solve the challenges of quantum computing useful,” said William Oliver, professor of Electrical Engineering and Computer Sciences, and Physics, leader of the EQU Group and director of the MIT Center for Quant Engineering, in a statement. “We anticipate that the future will also include other members of the Quantum Engineering Center in MIT. The integration of the NVIDIA accelerated computer platform with QBITS will help address central challenges such as the correction of quantum errors, the development of hybrid applications and the characterization of the quantum device.”

The NVAQC is expected to begin operations at the end of this year.


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