NVIDIA officially releases GPU-based quantum circuit simulation SDK

After months of public beta, NVIDIA announced at the current GTC 2022 conference that the software development kit (SDK) for accelerating quantum computing, NVIDIA cuQuantum, is now generally available.

cuQuantum uses tensor networks and state vector libraries to run complex quantum circuit simulations.

Researchers are already using these products to address real-world challenges. For example, quantum software company QC Ware is using cuQuantum to run quantum chemistry and quantum machine learning algorithms on the Perlmutter supercomputer at Lawrence Berkeley National Laboratory in the United States. The work aims to advance drug discovery and climate science.

Additionally, Xanadu has integrated cuQuantum into PennyLane, an open-source framework for quantum machine learning and quantum chemistry. Oak Ridge National Laboratory is using cuQuantum in TNQVM, a framework for quantum circuit simulation of tensor networks. In addition, other companies now support cuQuantum in their commercially available quantum simulators and frameworks, such as Classiq's quantum algorithm design platform and Zapata Computing's Orquestra. They join existing partners, including Google, IBM, IonQ and Pasqal, who already announced support for cuQuantum last November.

"The integration of cuQuantum and PennyLane will create a powerful simulation stack for quantum machine learning and quantum chemistry, enabling an active and growing research community to benefit from accelerated GPU simulation of quantum circuits," said Sam Stanwyck, product manager for cuQuantum at NVIDIA. "NVIDIA partners with innovators like Xanadu to enable high-performance classical computing resources to push the frontiers of quantum computing research."

Link:

[1] https://blogs.nvidia.com/blog/2022/03/22/hybrid-quantum-computing-ecosystem/

[2] https://www.prnewswire.com/news-releases/xanadu-accelerates-quantum-computing-research-and-development-with-nvidia-301507358.html