Issue 30, 2024

An ensemble variational quantum algorithm for non-Markovian quantum dynamics

Abstract

Many physical and chemical processes in a condensed phase environment exhibit non-Markovian quantum dynamics. As such simulations are challenging on classical computers, we developed a variational quantum algorithm that is capable of simulating non-Markovian dynamics on noisy intermediate-scale quantum (NISQ) devices. We used a quantum system linearly coupled to its harmonic bath as the model Hamiltonian. The non-Markovianity is captured by introducing auxiliary variables from the bath trajectories. With Monte Carlo sampling of the bath degrees of freedom, finite temperature dynamics is produced. We validated the algorithm on a simulator and demonstrated its performance on an IBM quantum device. The framework developed naturally adapts to any anharmonic bath with non-linear coupling to the system, and is also well suited for simulating spin chain dynamics in a dissipative environment.

Graphical abstract: An ensemble variational quantum algorithm for non-Markovian quantum dynamics

Article information

Article type
Paper
Submitted
23 Apr 2024
Accepted
08 Jul 2024
First published
22 Jul 2024

Phys. Chem. Chem. Phys., 2024,26, 20500-20510

An ensemble variational quantum algorithm for non-Markovian quantum dynamics

P. L. Walters, J. Tsakanikas and F. Wang, Phys. Chem. Chem. Phys., 2024, 26, 20500 DOI: 10.1039/D4CP01669F

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements