Koopman von Neumann mechanics and the Koopman representation: A perspective on solving nonlinear dynamical systems with quantum computers

02/04/2022
by   Robert B. Lowrie, et al.
0

A number of recent studies have proposed that linear representations are appropriate for solving nonlinear dynamical systems with quantum computers, which fundamentally act linearly on a wave function in a Hilbert space. Linear representations, such as the Koopman representation and Koopman von Neumann mechanics, have regained attention from the dynamical-systems research community. Here, we aim to present a unified theoretical framework, currently missing in the literature, with which one can compare and relate existing methods, their conceptual basis, and their representations. We also aim to show that, despite the fact that quantum simulation of nonlinear classical systems may be possible with such linear representations, a necessary projection into a feasible finite-dimensional space will in practice eventually induce numerical artifacts which can be hard to eliminate or even control. As a result a practical, reliable and accurate way to use quantum computation for solving general nonlinear dynamical systems is still an open problem.

READ FULL TEXT

page 12

page 13

page 23

research
08/06/2019

Koopman Representations of Dynamic Systems with Control

The design and analysis of optimal control policies for dynamical system...
research
03/04/2023

Efficient Quantum Algorithms for Nonlinear Stochastic Dynamical Systems

In this paper, we propose an efficient quantum algorithm for solving non...
research
08/05/2022

Quantum Mechanics for Closure of Dynamical Systems

We propose a scheme for data-driven parameterization of unresolved dimen...
research
09/20/2023

Digital twins of nonlinear dynamical systems: A perspective

Digital twins have attracted a great deal of recent attention from a wid...
research
01/29/2020

Universal Algebraic Controllers and System Identification

In this document, some structured operator approximation theoretical met...
research
05/20/2015

Supervised Learning for Dynamical System Learning

Recently there has been substantial interest in spectral methods for lea...
research
06/08/2022

A Control with Patterns Approach for the Stability Issue of Dynamical Systems Operating in Data-Rich Environments

Nowadays, data are richly accessible to accumulate, and the increasingly...

Please sign up or login with your details

Forgot password? Click here to reset