NVIDIA research on quantum computing using supercomputers shows potential for commercialization

From Nvidia: 2024-07-19 11:00:00

Research published in Nature validates a pathway to quantum computing commercialization using NVIDIA-powered supercomputers. Led by Giorgio Parisi, the study focuses on quantum annealing for solving complex optimization problems. Simulations on GPU resources explored the behavior of a quantum annealer, advancing understanding of quantum systems and their potential applications.

The study addresses the phase transition of Ising spin glass in a two-dimensional plane, a critical problem in computational physics. It demonstrates how GPU-accelerated simulations play a key role in developing quantum computing approaches, shedding light on the most promising paths forward. Understanding quantum systems aids in developing algorithms for solving complex problems efficiently.

Quantum annealers, like those by D-Wave, decrease a magnetic field to align magnetic particles and find a stable, minimum-energy state to solve problems. These systems offer advantages in solving optimization problems such as vehicle routing and protein folding. Extensive simulations on NVIDIA GPUs provide insights into optimizing quantum annealers for a speedup on important problems.

The groundbreaking research was initially presented at NVIDIA’s GTC 2024 technology conference, showcasing the potential for quantum computing advancement. Learn more about NVIDIA’s work in quantum computing and the full paper on quantum transition in Ising spin glass for further insights into developing quantum systems.



Read more at Nvidia: Magnetic Marvels: NVIDIA’s Supercomputers Spin a Quantum Tale