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Quantum embedding theories to simulate condensed systems on quantum computers

Articolo
Data di Pubblicazione:
2022
Citazione:
Quantum embedding theories to simulate condensed systems on quantum computers / Vorwerk, C., Sheng, N., Govoni, M., Huang, B., Galli, G.. - In: NATURE COMPUTATIONAL SCIENCE. - ISSN 2662-8457. - 2:7(2022), pp. 424-432. [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.
Tipologia CRIS:
Articolo su rivista
Elenco autori:
Vorwerk, Christian; Sheng, Nan; Govoni, Marco; Huang, Benchen; Galli, Giulia
Autori di Ateneo:
GOVONI Marco
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1295283
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1295283/601390/2105.04736.pdf
Pubblicato in:
NATURE COMPUTATIONAL SCIENCE
Journal
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