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Quantum computation of stopping power for inertial fusion target design.
Rubin, Nicholas C; Berry, Dominic W; Kononov, Alina; Malone, Fionn D; Khattar, Tanuj; White, Alec; Lee, Joonho; Neven, Hartmut; Babbush, Ryan; Baczewski, Andrew D.
  • Rubin NC; Google Quantum AI, Google Research, Venice, CA 90291.
  • Berry DW; School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW 2109, Australia.
  • Kononov A; Quantum Algorithms and Applications Collaboratory, Sandia National Laboratories, Albuquerque, NM 87185.
  • Malone FD; Google Quantum AI, Google Research, Venice, CA 90291.
  • Khattar T; Google Quantum AI, Google Research, Venice, CA 90291.
  • White A; Quantum Simulation Technologies Inc., Boston, MA 02135.
  • Lee J; Google Quantum AI, Google Research, Venice, CA 90291.
  • Neven H; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138.
  • Babbush R; Google Quantum AI, Google Research, Venice, CA 90291.
  • Baczewski AD; Google Quantum AI, Google Research, Venice, CA 90291.
Proc Natl Acad Sci U S A ; 121(23): e2317772121, 2024 Jun 04.
Article en En | MEDLINE | ID: mdl-38820000
ABSTRACT
Stopping power is the rate at which a material absorbs the kinetic energy of a charged particle passing through it-one of many properties needed over a wide range of thermodynamic conditions in modeling inertial fusion implosions. First-principles stopping calculations are classically challenging because they involve the dynamics of large electronic systems far from equilibrium, with accuracies that are particularly difficult to constrain and assess in the warm-dense conditions preceding ignition. Here, we describe a protocol for using a fault-tolerant quantum computer to calculate stopping power from a first-quantized representation of the electrons and projectile. Our approach builds upon the electronic structure block encodings of Su et al. [PRX Quant. 2, 040332 (2021)], adapting and optimizing those algorithms to estimate observables of interest from the non-Born-Oppenheimer dynamics of multiple particle species at finite temperature. We also work out the constant factors associated with an implementation of a high-order Trotter approach to simulating a grid representation of these systems. Ultimately, we report logical qubit requirements and leading-order Toffoli costs for computing the stopping power of various projectile/target combinations relevant to interpreting and designing inertial fusion experiments. We estimate that scientifically interesting and classically intractable stopping power calculations can be quantum simulated with roughly the same number of logical qubits and about one hundred times more Toffoli gates than is required for state-of-the-art quantum simulations of industrially relevant molecules such as FeMoco or P450.
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