NVIDIA collaborates with Leading Quantum Tech Companies to develop an onramp towards future Hybrid Quantum Computers

NVIDIA is joined by quantum leading companies in the effort of developing a quantum software program that will serve as the future’s tool for ultra-high-performing computers. The initiative will kickstart through NVIDIA’s software development kit called cuQuantum, a progressive quantum ecosystem that runs complex quantum circuit simulations with libraries for tensor networks and state vectors.

As quantum computers advance, researchers envision a hybrid computing model in which quantum and classical computers collaborate to solve problems that each is best suited for. These technologies will require a unified programming environment that is both efficient and simple to use in order to be widely utilized.

The existing high-performance computers are capable of mimicking quantum computing activities at scale and with performance much above that of today’s smaller, error-prone quantum systems. In this sense, traditional HPC systems are assisting quantum researchers in determining the best course of action.

As part of the initiative, the first milestone will be the development of the nvq++, a quantum compiler that focuses on the QIR Alliance, or The Quantum Intermediate Representation (QIR), a low-level machine language that quantum and classical computers can use to communicate. This is currently being coordinated by the Linux Foundation, which has also been adopted by researchers at Oak Ridge National Laboratory, Quantinuum, Quantum Circuits Inc., and others. It enables a programming style that works with both quantum and traditional computers to produce the best results.

CuQuantum is currently supported by other businesses’ commercially accessible quantum simulators and frameworks, such as Classiq’s Quantum Algorithm Design platform and Zapata Computing’s Orquestra. QC Ware is also using cuQuantum on its Perlmutter supercomputer at Lawrence Berkeley National Laboratory to execute quantum chemistry and quantum machine learning algorithms.

Read more about the news here.