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DTSTART;TZID=Europe/Stockholm:20240604T120000
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UID:submissions.pasc-conference.org_PASC24_sess116_msa143@linklings.com
SUMMARY:Exploration of Quantum Computing for Fusion Energy Science Applica
 tions
DESCRIPTION:Minisymposium\n\nIlon Joseph (Lawrence Livermore National Labo
 ratory)\n\nQuantum computing promises to deliver large gains in computatio
 nal power that can potentially benefit a number of Fusion Energy Science (
 FES) application areas. We will review our recent efforts [1] to develop a
 nd extend quantum algorithms to perform both classical and quantum FES-rel
 evant calculations, as well as to perform calculations on present-day quan
 tum 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 theo
 ry; simulate nonlinear wave-wave interactions; and explore the chaotic dyn
 amics of both quantum and classical systems.  We have implemented toy mode
 ls 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 dynami
 cs of the quantum sawtooth map, a simple model for wave-particle interacti
 ons. The fidelity of the experimental results match noise models that incl
 ude decay and dephasing processes and highlights key differences between s
 tate-of-the-art approaches to quantum computing hardware platforms. \n\n[1
 ] I. Joseph, Y. Shi, M. D. Porter, et al., Phys. Plasmas 30, 010501 (2023)
 .\n\nDomain: Physics, Computational Methods and Applied Mathematics\n\nSes
 sion Chairs: Stephan Brunner (EPFL); Eric Sonnendrücker (Max Planck Instit
 ute for Plasma Physics, Technical University of Munich); and Laurent Villa
 rd (EPFL)
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