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Thursday, March 21, 2024

From Atoms to Supercomputers: NVIDIA, Companions Scale Quantum Computing



The most recent advances in quantum computing embody investigating molecules, deploying big supercomputers and constructing the quantum workforce with a brand new educational program.

Researchers in Canada and the U.S. used a big language mannequin to simplify quantum simulations that assist scientists discover molecules.

“This new quantum algorithm opens the avenue to a brand new approach of mixing quantum algorithms with machine studying,” stated Alan Aspuru-Guzik, a professor of chemistry and laptop science on the College of Toronto, who led the group.

The hassle used CUDA-Q, a hybrid programming mannequin for GPUs, CPUs and the QPUs quantum methods use. The group ran its analysis on Eos, NVIDIA’s H100 GPU supercomputer.

Software program from the hassle shall be made obtainable for researchers in fields like healthcare and chemistry. Aspuru-Guzik will element the work in a chat at GTC.

Quantum Scales for Fraud Detection

At HSBC, one of many world’s largest banks, researchers designed a quantum machine studying utility that may detect fraud in digital funds.

The financial institution’s quantum machine studying algorithm simulated a whopping 165 qubits on NVIDIA GPUs. Analysis papers sometimes don’t lengthen past 40 of those basic calculating items quantum methods use.

HSBC used machine studying strategies carried out with CUDA-Q and cuTensorNet software program on NVIDIA GPUs to beat challenges simulating quantum circuits at scale. Mekena Metcalf, a quantum computing analysis scientist at HSBC (pictured above), will current her work in a session at GTC.

Elevating a Quantum Era

In training, NVIDIA is working with almost two dozen universities to arrange the subsequent era of laptop scientists for the quantum period. The collaboration will design curricula and educating supplies round CUDA-Q.

“Bridging the divide between conventional computer systems and quantum methods is crucial to the way forward for computing,” stated Theresa Mayer, vp for analysis at Carnegie Mellon College. “NVIDIA is partnering with establishments of upper training, Carnegie Mellon included, to assist college students and researchers navigate and excel on this rising hybrid atmosphere.”

To assist working builders get hands-on with the most recent instruments, NVIDIA co-sponsored QHack, a quantum hackathon in February. The profitable mission, developed by Gopal Dahale of Qkrishi — a quantum firm in Gurgaon, India — used CUDA-Q to develop an algorithm to simulate a cloth crucial in designing higher batteries.

A Trio of New Methods

Two new methods being deployed additional increase the ecosystem for hybrid quantum-classical computing.

The most important of the 2, ABCI-Q at Japan’s Nationwide Institute of Superior Industrial Science and Expertise, shall be one of many largest supercomputers devoted to analysis in quantum computing. It is going to use CUDA-Q on NVIDIA H100 GPUs to advance the nation’s efforts within the discipline.

In Denmark, the Novo Nordisk Basis will lead on the deployment of an NVIDIA DGX SuperPOD, a big a part of which shall be devoted to analysis in quantum computing in alignment with the nation’s nationwide plan to advance the expertise.

The brand new methods be a part of Australia’s Pawsey Supercomputing Analysis Centre, which introduced in February it can run CUDA-Q on NVIDIA Grace Hopper Superchips at its Nationwide Supercomputing and Quantum Computing Innovation Hub.

Companions Drive CUDA-Q Ahead

In different information, Israeli startup Classiq launched at GTC a brand new integration with CUDA-Q. Classiq’s quantum circuit synthesis lets high-level purposeful fashions mechanically generate optimized quantum applications, so researchers can get essentially the most out of in the present day’s quantum {hardware} and increase the size of their work on future algorithms.

Software program and repair supplier QC Ware is integrating its Promethium quantum chemistry package deal with the just-announced NVIDIA Quantum Cloud.

ORCA Computing, a quantum methods developer headquartered in London, launched outcomes working quantum machine studying on its photonics processor with CUDA-Q. As well as, ORCA was chosen to construct and provide a quantum computing testbed for the UK’s Nationwide Quantum Computing Centre which is able to embody an NVIDIA GPU cluster utilizing CUDA-Q.

Nvidia and Infleqtion, a quantum expertise chief, partnered to carry cutting-edge quantum-enabled options to Europe’s largest cyber-defense train with NVIDIA-enabled Superstaq software program.

A cloud-based platform for quantum computing, qBraid, is integrating CUDA-Q into its developer atmosphere. And California-based BlueQubit described in a weblog how NVIDIA’s quantum expertise, utilized in its analysis and GPU service, gives the quickest and largest quantum emulations attainable on GPUs.

Get the Large Image at GTC

To study extra, watch a session about how NVIDIA is advancing quantum computing and attend an knowledgeable panel on the subject, each at NVIDIA GTC, a world AI convention, working March 18-21 on the San Jose Conference Middle.

And get the complete view from NVIDIA founder and CEO Jensen Huang in his GTC keynote.



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