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Auteurs principaux: Andress, Joseph, Engel, Alexander, Shi, Yuan, Parker, Scott
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2410.03838
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author Andress, Joseph
Engel, Alexander
Shi, Yuan
Parker, Scott
author_facet Andress, Joseph
Engel, Alexander
Shi, Yuan
Parker, Scott
contents We present a quantum algorithm based on repeated measurement to solve initial-value problems for nonlinear ordinary differential equations (ODEs), which may be generated from partial differential equations in plasma physics. We map a dynamical system to a Hamiltonian form, where the Hamiltonian matrix is a function of dynamical variables. To advance in time, we measure expectation values from the previous time step, and evaluate the Hamiltonian function classically, which introduces stochasticity into the dynamics. We then perform standard quantum Hamiltonian simulation over a short time, using the evaluated constant Hamiltonian matrix. This approach requires evolving an ensemble of quantum states, which are consumed each step to measure required observables. We apply this approach to the classic logistic and Lorenz systems, in both integrable and chaotic regimes. Out analysis shows that solutions' accuracy is influenced by both the stochastic sampling rate and the nature of the dynamical system.
format Preprint
id arxiv_https___arxiv_org_abs_2410_03838
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantum Simulation of Nonlinear Dynamical Systems Using Repeated Measurement
Andress, Joseph
Engel, Alexander
Shi, Yuan
Parker, Scott
Quantum Physics
Plasma Physics
We present a quantum algorithm based on repeated measurement to solve initial-value problems for nonlinear ordinary differential equations (ODEs), which may be generated from partial differential equations in plasma physics. We map a dynamical system to a Hamiltonian form, where the Hamiltonian matrix is a function of dynamical variables. To advance in time, we measure expectation values from the previous time step, and evaluate the Hamiltonian function classically, which introduces stochasticity into the dynamics. We then perform standard quantum Hamiltonian simulation over a short time, using the evaluated constant Hamiltonian matrix. This approach requires evolving an ensemble of quantum states, which are consumed each step to measure required observables. We apply this approach to the classic logistic and Lorenz systems, in both integrable and chaotic regimes. Out analysis shows that solutions' accuracy is influenced by both the stochastic sampling rate and the nature of the dynamical system.
title Quantum Simulation of Nonlinear Dynamical Systems Using Repeated Measurement
topic Quantum Physics
Plasma Physics
url https://arxiv.org/abs/2410.03838