Quantum embedding theories to simulate condensed systems on quantum computers

Christian Vorwerk^#¹, Nan Sheng^#², Marco Govoni³, Benchen Huang², Giulia Galli^{4

5

6}

Affiliations

¹ Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA.
² Department of Chemistry, University of Chicago, Chicago, IL, USA.
³ Materials Science Division and Center for Molecular Engineering, Argonne National Laboratory, Lemont, IL, USA. mgovoni@anl.gov.
⁴ Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA. gagalli@uchicago.edu.
⁵ Department of Chemistry, University of Chicago, Chicago, IL, USA. gagalli@uchicago.edu.
⁶ Materials Science Division and Center for Molecular Engineering, Argonne National Laboratory, Lemont, IL, USA. gagalli@uchicago.edu.

^# Contributed equally.

PMID: 38177872
DOI: 10.1038/s43588-022-00279-0

Review

Quantum embedding theories to simulate condensed systems on quantum computers

Christian Vorwerk et al. Nat Comput Sci. 2022 Jul.

. 2022 Jul;2(7):424-432.

doi: 10.1038/s43588-022-00279-0. Epub 2022 Jul 25.

Authors

Christian Vorwerk^#¹, Nan Sheng^#², Marco Govoni³, Benchen Huang², Giulia Galli^{4

5

6}

Affiliations

¹ Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA.
² Department of Chemistry, University of Chicago, Chicago, IL, USA.
³ Materials Science Division and Center for Molecular Engineering, Argonne National Laboratory, Lemont, IL, USA. mgovoni@anl.gov.
⁴ Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA. gagalli@uchicago.edu.
⁵ Department of Chemistry, University of Chicago, Chicago, IL, USA. gagalli@uchicago.edu.
⁶ Materials Science Division and Center for Molecular Engineering, Argonne National Laboratory, Lemont, IL, USA. gagalli@uchicago.edu.

^# Contributed equally.

PMID: 38177872
DOI: 10.1038/s43588-022-00279-0

Abstract

Quantum computers hold promise to improve the efficiency of quantum simulations of materials and to enable the investigation of systems and properties that are more complex than tractable at present on classical architectures. Here, we discuss computational frameworks to carry out electronic structure calculations of solids on noisy intermediate-scale quantum computers using embedding theories, and we give examples for a specific class of materials, that is, solid materials hosting spin defects. These are promising systems to build future quantum technologies, such as quantum computers, quantum sensors and quantum communication devices. Although quantum simulations on quantum architectures are in their infancy, promising results for realistic systems appear to be within reach.

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References

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Quantum embedding theories to simulate condensed systems on quantum computers

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Quantum embedding theories to simulate condensed systems on quantum computers

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