Nvidia Quantum Platform to Power Molecular Discovery

Nvidia is establishing a quantum-classical hybrid laboratory at the Nvidia is establishing a quantum-classical hybrid laboratory at the Jülich Supercomputing Center (JSC) in Germany, in partnership with supercomputing solutions provider ParTec.

The new facility, part of JSC’s Jülich Unified Infrastructure for Quantum Computing (JUNIQ), will use Nvidia’s quantum computing technology alongside GPU-powered supercomputing. ParTec develops purpose-built supercomputing solutions including the Modular Supercomputing Architecture that it created with JSC to integrate with quantum computing platforms.

The goal is to bring quantum-classical computing to a broader audience and make progress toward developing a quantum-accelerated supercomputer. Hybrid quantum-classical systems have the potential to solve complex problems that cannot be addressed by classical computing alone.

The partnership particularly wants to give chemistry and materials science researchers access to the tools and resources they need to make new discoveries in their fields using quantum.

Nvidia supports the integration of quantum and classical computing with its open-source CUDA Quantum programming model and its cuQuantum software development kit.

JSC plans to test the system incrementally and will use CUDA Quantum to program and integrate quantum processors into its modular Jülich Exascale supercomputing architecture.(JSC) in Germany, in partnership with supercomputing solutions provider ParTec.

The new facility, part of JSC’s Jülich Unified Infrastructure for Quantum Computing (JUNIQ), will use Nvidia’s quantum computing technology alongside GPU-powered supercomputing. ParTec develops purpose-built supercomputing solutions including the Modular Supercomputing Architecture that it created with JSC to integrate with quantum computing platforms.

The goal is to bring quantum-classical computing to a broader audience and make progress toward developing a quantum-accelerated supercomputer. Hybrid quantum-classical systems have the potential to solve complex problems that cannot be addressed by classical computing alone.

The partnership particularly wants to give chemistry and materials science researchers access to the tools and resources they need to make new discoveries in their fields using quantum.

Nvidia supports the integration of quantum and classical computing with its open-source CUDA Quantum programming model and its cuQuantum software development kit.

JSC plans to test the system incrementally and will use CUDA Quantum to program and integrate quantum processors into its modular Jülich Exascale supercomputing architecture.