Dr. Wei Fang1
1NVIDIA, Australia
Biography:
Dr. Wei Fang is currently a Solutions Architect for HPC & AI at NVIDIA based in Sydney. He has been working in the HPC domain for over a decade with experiencing design, optimizing and operating HPC & AI infrastructure, developing parallel program, algorithms and scientific applications. In his current role, he works with the Higher Education & Research (HER) and Supercomputing (SCC) sectors to bring the latest accelerated computing technology to researchers for cutting edge research and innovations.
Abstract:
Quantum computing unlocks a time machine trip for fusion energy, climate research, drug discovery and many more areas. Researchers are hard at work simulating future quantum computers on NVIDIA GPU-based systems and software to develop and test quantum algorithms faster than ever. The NVIDIA CUDA-Q platform enables both simulation of quantum computers and hybrid application development with a unified programming model for CPUs, GPUs and Quantum Processing Units (QPUs) working together. CUDA-Q is speeding simulations in chemistry workflows for BASF, high-energy and nuclear physics for Stony Brook and quantum chemistry for NERSC. NVIDIA Blackwell architecture will help drive quantum simulations to new heights. Utilizing the latest NVIDIA NVLink multi-node interconnect technology helps shuttle data faster for speedup benefits to quantum simulations. In this talk we are going to discuss the key benefits and features of CUDA-Q and how researchers can leverage the cuQuantum-accelerated simulation backends as well as QPUs from our partners or connect their own simulator or quantum processor. NVIDIA CUDA-Q can significantly speed up quantum algorithms, compared to other quantum frameworks. Quantum algorithms can achieve a speedup of up to 2500X over CPU, scaling number of qubits using multiple GPUs.