Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm
- URL: http://arxiv.org/abs/2407.02989v1
- Date: Wed, 3 Jul 2024 10:40:31 GMT
- Title: Numerical solution of nonlinear Schrödinger equation by a hybrid pseudospectral-variational quantum algorithm
- Authors: Nikolas Köcher, Hendrik Rose, Jörg Schumacher, Stefan Schumacher,
- Abstract summary: Time-dependent one-dimensional nonlinear Schr"odinger equation (NLSE) is solved numerically by a hybrid pseudospectral-variational quantum algorithm.
We analyze the accuracy of the quantum algorithm and compare it with classical approaches.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The time-dependent one-dimensional nonlinear Schr\"odinger equation (NLSE) is solved numerically by a hybrid pseudospectral-variational quantum algorithm that connects a pseudospectral step for the Hamiltonian term with a variational step for the nonlinear term. The Hamiltonian term is treated as an integrating factor by forward and backward Fourier transformations, which are here carried out classically. This split allows us to avoid higher-order time integration schemes, to apply a first-order explicit time stepping for the remaining nonlinear NLSE term in a variational algorithm block, and thus to avoid numerical instabilities. We demonstrate that the analytical solution is reproduced with a small root mean square error for a long time interval over which a nonlinear soliton propagates significantly forward in space while keeping its shape. We analyze the accuracy of the quantum algorithm and compare it with classical approaches. Furthermore, we investigate the influence of algorithm parameters on the accuracy of the results, including the temporal step width and the depth of the quantum circuit.
Related papers
- Quantum and classical algorithms for nonlinear unitary dynamics [0.5729426778193399]
We present a quantum algorithm for a non-linear differential equation of the form $fracd|urangledt.
We also introduce a classical algorithm based on the Euler method allowing comparably scaling to the quantum algorithm in a restricted case.
arXiv Detail & Related papers (2024-07-10T14:08:58Z) - Unitary Quantum Algorithm for the Lattice-Boltzmann Method [0.0]
We present a quantum algorithm for computational fluid dynamics based on the Lattice-Boltzmann method.
Our results demonstrate that our quantum algorithm captures non-linearity.
arXiv Detail & Related papers (2024-05-22T07:03:54Z) - Quantum Algorithm For Solving Nonlinear Algebraic Equations [0.0]
We give a quantum algorithm for solving a system of nonlinear algebraic equations.
A detailed analysis are carried out to reveal that our method polylogarithmic time in relative to the number of variables.
In particular, we show that our method can be modified with little effort to deal with various types, thus implying the generality of our approach.
arXiv Detail & Related papers (2024-04-04T21:20:56Z) - Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence [65.63201894457404]
We propose a novel non-parametric learning paradigm for the identification of drift and diffusion coefficients of non-linear differential equations.
The key idea essentially consists of fitting a RKHS-based approximation of the corresponding Fokker-Planck equation to such observations.
arXiv Detail & Related papers (2023-05-24T20:43:47Z) - A hybrid quantum-classical algorithm for multichannel quantum scattering
of atoms and molecules [62.997667081978825]
We propose a hybrid quantum-classical algorithm for solving the Schr"odinger equation for atomic and molecular collisions.
The algorithm is based on the $S$-matrix version of the Kohn variational principle, which computes the fundamental scattering $S$-matrix.
We show how the algorithm could be scaled up to simulate collisions of large polyatomic molecules.
arXiv Detail & Related papers (2023-04-12T18:10:47Z) - Dynamical chaos in nonlinear Schr\"odinger models with subquadratic
power nonlinearity [137.6408511310322]
We deal with a class of nonlinear Schr"odinger lattices with random potential and subquadratic power nonlinearity.
We show that the spreading process is subdiffusive and has complex microscopic organization.
The limit of quadratic power nonlinearity is also discussed and shown to result in a delocalization border.
arXiv Detail & Related papers (2023-01-20T16:45:36Z) - Time complexity analysis of quantum algorithms via linear
representations for nonlinear ordinary and partial differential equations [31.986350313948435]
We construct quantum algorithms to compute the solution and/or physical observables of nonlinear ordinary differential equations.
We compare the quantum linear systems algorithms based methods and the quantum simulation methods arising from different numerical approximations.
arXiv Detail & Related papers (2022-09-18T05:50:23Z) - A Sublinear-Time Quantum Algorithm for Approximating Partition Functions [0.0]
We present a novel quantum algorithm for estimating Gibbs partition functions in sublinear time.
This is the first speed-up of this type to be obtained over the seminal nearly-linear time of vStefankovivc, Vempala and Vigoda.
arXiv Detail & Related papers (2022-07-18T14:41:48Z) - On optimization of coherent and incoherent controls for two-level
quantum systems [77.34726150561087]
This article considers some control problems for closed and open two-level quantum systems.
The closed system's dynamics is governed by the Schr"odinger equation with coherent control.
The open system's dynamics is governed by the Gorini-Kossakowski-Sudarshan-Lindblad master equation.
arXiv Detail & Related papers (2022-05-05T09:08:03Z) - Designing Kerr Interactions for Quantum Information Processing via
Counterrotating Terms of Asymmetric Josephson-Junction Loops [68.8204255655161]
static cavity nonlinearities typically limit the performance of bosonic quantum error-correcting codes.
Treating the nonlinearity as a perturbation, we derive effective Hamiltonians using the Schrieffer-Wolff transformation.
Results show that a cubic interaction allows to increase the effective rates of both linear and nonlinear operations.
arXiv Detail & Related papers (2021-07-14T15:11:05Z) - The Connection between Discrete- and Continuous-Time Descriptions of
Gaussian Continuous Processes [60.35125735474386]
We show that discretizations yielding consistent estimators have the property of invariance under coarse-graining'
This result explains why combining differencing schemes for derivatives reconstruction and local-in-time inference approaches does not work for time series analysis of second or higher order differential equations.
arXiv Detail & Related papers (2021-01-16T17:11:02Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.