CUDA-Q and cuQuantum: An Open Platform for Accelerated Quantum Supercomputing
CUDA-Q and cuQuantum: An Open Platform for Accelerated Quantum Supercomputing
Abstract: NVIDIA’s approach to quantum computing is rooted in enabling researchers and developers across the quantum ecosystem to push the boundaries of what is possible, from advancing simulation capabilities to connecting quantum processors with GPU supercomputers into unified hybrid systems. Central to this vision is the concept of accelerated quantum supercomputing: the tight coupling of supercomputing and quantum computing into a single, coherent architecture for scientific discovery. This session introduces the NVIDIA quantum software stack, with a focus on two key components. cuQuantum is a set of GPU-accelerated libraries for quantum simulation, both as a drop-in backend for common quantum frameworks, and as high-performance primitives for researchers building their own simulation tools. CUDA-Q is an open platform for hybrid quantum-classical programming, offering a unified model where the same code can target CPU simulators, GPU simulators, and quantum hardware from multiple providers. We will discuss when to use each, how they complement one another, and how they fit into the broader vision of accelerated quantum supercomputing. The session includes demonstrations of real-world applications that have leveraged these tools at scale and concludes with resources for researchers to begin integrating GPU-accelerated quantum computing into their own workflows.
Presenter: Stefano Mensa (NVIDIA).
NVIDIA Quantum Developer Relations Manager for Supercomputing Centres and National Laboratories Stefano Mensa previously worked at the STFC Hartree Centre, where he led strategic initiatives in quantum computing and emerging technologies. He has extensive experience enabling the quantum computing community, particularly in applications and quantum-classical integration. Stefano holds a PhD in Theoretical Chemistry from the University of Liverpool, where he is also an Honorary Senior Research Fellow.
This training event is a collaboration with Los Alamos National Laboratory (LANL). Although any hands-on components will be limited to LANL users, all OLCF and QCUP users are welcome to view the demonstrations and presentation.
