LLNL FESP Theory Highlights: October 2024
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
I. Novikau, I. Y. Dodin, E. A. Startsev, I. Joseph, Quantum algorithms for simulating dissipative linear and nonlinear dynamics of plasmas. Invited talk at the 66th Annual Meeting of the APS Division of Plasma Physics, Atlanta, Georgia. Novikau I., Dodin I.Y., Startsev E.A., Encoding of linear kinetic plasma problems in quantum circuits via data compression, Journal of Plasma Physics. 2024;90(4):805900401, doi:10.1017/S0022377824000795. We propose an algorithm for encoding linear kinetic plasma problems in quantum circuits. The focus is on modelling electrostatic linear waves in a one-dimensional Maxwellian electron plasma. The waves are described by the linearized Vlasov–Ampère system with a spatially localized external current that drives plasma oscillations. This system is formulated as a boundary-value problem and cast in the form of a linear vector equation to be solved by using the quantum signal processing algorithm. The latter requires encoding of a matrix in a quantum circuit as a sub-block of a unitary matrix. We propose how to encode in a circuit in a compressed form and discuss how the resulting circuit scales with the problem size and the desired precision.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC52-07NA27344
- OSTI ID:
- 2479409
- Report Number(s):
- LLNL--TR-2001346
- Country of Publication:
- United States
- Language:
- English
Similar Records
Encoding of linear kinetic plasma problems in quantum circuits via data compression
Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices
Journal Article
·
Tue Sep 17 20:00:00 EDT 2024
· Journal of Plasma Physics
·
OSTI ID:2448307
Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices
Journal Article
·
Mon Mar 11 20:00:00 EDT 2024
· SIAM Journal on Matrix Analysis and Applications
·
OSTI ID:2466156