Nvidia Launches System for Quantum-Classical Hybrid Computing

Developed alongside quantum computer control and operation systems startup Quantum Machines, GDX Quantum claims to be the world’s first GPU-accelerated quantum computing system.

It combines an accelerated computing platform that uses Nvidia’s Grace Hopper Superchip and the CUDA Quantum open-source programming model with Quantum Machine’s quantum control platform OPX+.

The Grace Hopper system is connected to Quantum Machines OPX+ in a way that gives faster, sub-microsecond latency between GPUs and quantum processing units (QPUs).

The combination allows researchers to build applications that combine quantum computing with classical supercomputing, enabling calibration, control, quantum error correction and hybrid algorithms.

“Quantum-accelerated supercomputing has the potential to reshape science and industry

“Nvidia DGX Quantum will enable researchers to push the boundaries of quantum-classical computing.”

“We are heading toward a new age of quantum computing that is more accessible to more researchers than ever,” said Quantum Machines founder and CEO Itamar Sivan.

“Our collaboration with Nvidia on the DGX Quantum system will enable a new generation of innovators to solve some of the world’s greatest challenges.”

DGX Quantum includes Nvidia’s CUDA Quantum quantum-classical hybrid computing platform that enables integration and programming of QPUs, GPUs and CPUs in one system.

Nvidia also announced several new partners that are integrating CUDA Quantum into their platforms. These include: quantum hardware companies Anyon Systems, Atom Computing, IonQ, ORCA Computing, Oxford Quantum Circuits and QuEra; quantum software companies Agnostiq and QMware; and supercomputing centers National Institute of Advanced Industrial Science and Technology, the IT Center for Science (CSC) and the National Center for Supercomputing Applications (NCSA).