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NVIDIA is collaborating with Google AI, IBM and other companies to accelerate research in quantum computing

"Researchers can accelerate their quantum computing work using our cuQuantum SDK on popular services or a new device based on the NVIDIA DGX system." says Hansen Huang, CEO of Nvidia"

Collaboration is required to nurture emerging technology, so NVIDIA is partnering with Google Quantum AI, IBM and others to take quantum computing to the next level.

According to Nvidia CEO Jensen Huang, who presented the announcement as part of the GTC conference held by the company these days, quantum computing holds the promise of solving previously unsolvable problems in areas such as drug development, climate research, machine learning and finance. The potential is great, but so are the challenges.

Today's quantum computers may be too small and error-prone to solve useful problems, and it is not yet clear which quantum algorithms will provide advantages over today's classical computers.

To help advance quantum computing research, NVIDIA announced at GTC 2021 the cuQuantum software development kit for accelerating quantum computer simulations on classical systems.

"Simulations help researchers rapidly design and test new quantum algorithms at a scale and performance not possible with current quantum hardware. They are also critical to help verify and benchmark the next generation of quantum hardware.”

"We are helping to speed up this work. As of today, the first library from cuQuantum is in public beta, available for download called cuStateVec, an accelerator for a quantum computing simulation method. This approach tracks the full system state in memory and can fit tens of qubits.

A second library to be published in December, cuTensorNet, is an accelerator using the tensor network method. It will help in dealing with up to thousands of qubits in some promising algorithms in the near term.

"Quantum computing promises to solve difficult computing challenges that are beyond the reach of traditional systems," said Kathryn Wallgraf Heidweiler at Google Quantum AI. "This high-performance imaging stack will accelerate the work of researchers around the world developing algorithms and applications for quantum computers."

"In addition, we announced the integration of cuQuantum into the systems of other manufacturers. In December, cuStateVec will be ready for use with Qiskit Aer, a high-performance quantum circuit simulator framework from IBM.”

For news on Nvidia's blog

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