Issue 46, 2020

Vacancies in graphene: an application of adiabatic quantum optimization

Abstract

Quantum annealers have grown in complexity to the point that quantum computations involving a few thousand qubits are now possible. In this paper, with the intentions to show the feasibility of quantum annealing to tackle problems of physical relevance, we used a simple model, compatible with the capability of current quantum annealers, to study the relative stability of graphene vacancy defects. By mapping the crucial interactions that dominate carbon-vacancy interchange onto a quadratic unconstrained binary optimization problem, our approach exploits the ground state as well as the excited states found by the quantum annealer to extract all the possible arrangements of multiple defects on the graphene sheet together with their relative formation energies. This approach reproduces known results and provides a stepping stone towards applications of quantum annealing to problems of physical–chemical interest.

Graphical abstract: Vacancies in graphene: an application of adiabatic quantum optimization

Supplementary files

Article information

Article type
Paper
Submitted
29 juil. 2020
Accepted
30 oct. 2020
First published
30 oct. 2020

Phys. Chem. Chem. Phys., 2020,22, 27332-27337

Author version available

Vacancies in graphene: an application of adiabatic quantum optimization

V. Carnevali, I. Siloi, R. Di Felice and M. Fornari, Phys. Chem. Chem. Phys., 2020, 22, 27332 DOI: 10.1039/D0CP04037A

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