Presentation
Exploration of Quantum Computing for Fusion Energy Science Applications
Presenter
DescriptionQuantum computing promises to deliver large gains in computational power that can potentially benefit a number of Fusion Energy Science (FES) application areas. We will review our recent efforts [1] to develop and extend quantum algorithms to perform both classical and quantum FES-relevant calculations, as well as to perform calculations on present-day quantum hardware platforms. We have developed and explored quantum algorithms that can compute nonlinear and non-Hamiltonian dynamics by simulating the Koopman-von Neumann and Liouville equations; perform eigenvalue estimation for generalized eigenvalue problems common in plasma physics and MHD theory; simulate nonlinear wave-wave interactions; and explore the chaotic dynamics of both quantum and classical systems. We have implemented toy models of these algorithms on state-of-the-art quantum computing architectures to test the fidelity of emerging quantum hardware capabilities including Grover’s search, nonlinear three-wave interactions, and the chaotic dynamics of the quantum sawtooth map, a simple model for wave-particle interactions. The fidelity of the experimental results match noise models that include decay and dephasing processes and highlights key differences between state-of-the-art approaches to quantum computing hardware platforms.
[1] I. Joseph, Y. Shi, M. D. Porter, et al., Phys. Plasmas 30, 010501 (2023).
[1] I. Joseph, Y. Shi, M. D. Porter, et al., Phys. Plasmas 30, 010501 (2023).
TimeTuesday, June 412:00 - 12:30 CEST
LocationHG F 26.3
Session Chairs
Event Type
Minisymposium
Physics
Computational Methods and Applied Mathematics