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A general framework for active space embedding methods with applications in quantum computing

Battaglia, Stefano; Rossmannek, Max; Rybkin, Vladimir V; Tavernelli, Ivano; Hutter, Jürg (2024). A general framework for active space embedding methods with applications in quantum computing. npj Computational Materials, 10(1):297.

Abstract

We developed a general framework for hybrid quantum-classical computing of molecular and periodic embedding approaches based on an orbital space separation of the fragment and environment degrees of freedom. We demonstrate its potential by presenting a specific implementation of periodic range-separated DFT coupled to a quantum circuit ansatz, whereby the variational quantum eigensolver and the quantum equation-of-motion algorithm are used to obtain the low-lying spectrum of the embedded fragment Hamiltonian. The application of this scheme to study localized electronic states in materials is showcased through the accurate prediction of the optical properties of the neutral oxygen vacancy in magnesium oxide (MgO). Despite some discrepancies in the position of the main absorption band, the method demonstrates competitive performance compared to state-of-the-art ab initio approaches, particularly evidenced by the excellent agreement with the experimental photoluminescence emission peak.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Chemistry
Dewey Decimal Classification:540 Chemistry
Scopus Subject Areas:Physical Sciences > Modeling and Simulation
Physical Sciences > General Materials Science
Physical Sciences > Mechanics of Materials
Physical Sciences > Computer Science Applications
Language:English
Date:19 December 2024
Deposited On:20 Jan 2025 18:05
Last Modified:28 Feb 2025 02:43
Publisher:Nature Publishing Group
ISSN:2057-3960
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1038/s41524-024-01477-2
PubMed ID:39712950
Project Information:
  • Funder: SNSF
  • Grant ID: 205602
  • Project Title: NCCR MARVEL: Materialsâ�� Revolution: Computational Design and Discovery of Novel Materials (phase III)
  • Funder: SNSF
  • Grant ID: 205602
  • Project Title: NCCR MARVEL: Materialsâ�� Revolution: Computational Design and Discovery of Novel Materials (phase III)
  • Funder: SNSF
  • Grant ID: 205602
  • Project Title: NCCR MARVEL: Materialsâ�� Revolution: Computational Design and Discovery of Novel Materials (phase III)
  • Funder: SNSF
  • Grant ID: 205602
  • Project Title: NCCR MARVEL: Materialsâ�� Revolution: Computational Design and Discovery of Novel Materials (phase III)
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  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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