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Abstract

Fault-tolerant quantum computing is a promising technology to solve linear partial differential equations that are classically demanding to integrate. It is still challenging to solve non-linear equations in fluid dynamics, such as the Burgers equation, using quantum computers. We propose a novel quantum algorithm to solve the Burgers equation. With the Cole-Hopf transformation that maps the fluid velocity field \(u\) to a new field \(\psi\), we apply a sequence of quantum gates to solve the resulting linear equation and obtain the quantum state \(\vert\psi\rangle\) that encodes the solution \(\psi\). We also propose an efficient way to extract stochastic properties of \(u\), namely the multi-point functions of \(u\), from the quantum state of \(\vert\psi\rangle\). Our algorithm offers an exponential advantage over the classical finite difference method in terms of the number of spatial grids when a perturbativity condition in the information-extracting step is met.

Details

1009240
Identifier / keyword
Title
Quantum simulation of Burgers turbulence: Nonlinear transformation and direct evaluation of statistical quantities
Publication title
arXiv.org; Ithaca
Publication year
2024
Publication date
Dec 23, 2024
Section
Physics (Other); Quantum Physics
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2024-12-24
Milestone dates
2024-12-23 (Submission v1)
Publication history
 
 
   First posting date
24 Dec 2024
ProQuest document ID
3148981370
Document URL
https://www.proquest.com/working-papers/quantum-simulation-burgers-turbulence-nonlinear/docview/3148981370/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-12-25
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic