Saved in:
Bibliographic Details
Main Authors: Uchida, Fumio, Miyamoto, Koichi, Yamazaki, Soichiro, Fujisawa, Kotaro, Yoshida, Naoki
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.17206
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915858041798656
author Uchida, Fumio
Miyamoto, Koichi
Yamazaki, Soichiro
Fujisawa, Kotaro
Yoshida, Naoki
author_facet Uchida, Fumio
Miyamoto, Koichi
Yamazaki, Soichiro
Fujisawa, Kotaro
Yoshida, Naoki
contents 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 $ψ$, we apply a sequence of quantum gates to solve the resulting linear equation and obtain the quantum state $\vertψ\rangle$ that encodes the solution $ψ$. We also propose an efficient way to extract stochastic properties of $u$, namely the multi-point functions of $u$, from the quantum state of $\vertψ\rangle$. 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_17206
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantum simulation of Burgers turbulence: Nonlinear transformation and direct evaluation of statistical quantities
Uchida, Fumio
Miyamoto, Koichi
Yamazaki, Soichiro
Fujisawa, Kotaro
Yoshida, Naoki
Quantum Physics
Fluid Dynamics
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 $ψ$, we apply a sequence of quantum gates to solve the resulting linear equation and obtain the quantum state $\vertψ\rangle$ that encodes the solution $ψ$. We also propose an efficient way to extract stochastic properties of $u$, namely the multi-point functions of $u$, from the quantum state of $\vertψ\rangle$. 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.
title Quantum simulation of Burgers turbulence: Nonlinear transformation and direct evaluation of statistical quantities
topic Quantum Physics
Fluid Dynamics
url https://arxiv.org/abs/2412.17206