UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Scalable approach to quantum simulation via projection-based embedding

Ralli, Alexis; Williams de la Bastida, Michael; Coveney, Peter V; (2024) Scalable approach to quantum simulation via projection-based embedding. Physical Review A , 109 (2) , Article 022418. 10.1103/physreva.109.022418. Green open access

[thumbnail of PhysRevA.109.022418.pdf]
Preview
PDF
PhysRevA.109.022418.pdf - Published Version

Download (2MB) | Preview

Abstract

Owing to the computational complexity of electronic structure algorithms running on classical digital computers, the range of molecular systems amenable to simulation remains tightly circumscribed even after many decades of work. Many believe quantum computers will transcend such limitations although in the current era the size and noise of these devices militates against significant progress. Here we describe a chemically intuitive approach that permits a subdomain of a molecule's electronic structure to be calculated accurately on a quantum device, while the rest of the molecule is described at a lower level of accuracy using density functional theory running on a classical computer. We demonstrate that this approach produces improved results for molecules that cannot be simulated fully on current quantum computers but which can be resolved classically at a cheaper level of approximation. The algorithm is tunable, so that the size of the quantum simulation can be adjusted to run on available quantum resources. Therefore, as quantum devices become larger, this method will enable increasingly large subdomains to be studied accurately.

Type: Article
Title: Scalable approach to quantum simulation via projection-based embedding
Open access status: An open access version is available from UCL Discovery
DOI: 10.1103/physreva.109.022418
Publisher version: http://dx.doi.org/10.1103/physreva.109.022418
Language: English
Additional information: Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry
URI: https://discovery.ucl.ac.uk/id/eprint/10187884
Downloads since deposit
18Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item