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  Quantum computing in pharma: A multilayer embedding approach for near future applications

Izsák, R., Riplinger, C., Blunt, N. S., de Souza, B., Holzmann, N., Crawford, O., et al. (2023). Quantum computing in pharma: A multilayer embedding approach for near future applications. Journal of Computational Chemistry, 44(3), 406-421. doi:10.1002/jcc.26958.

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Izsák, Róbert1, Autor
Riplinger, Christoph2, Autor
Blunt, Nick S.1, Autor
de Souza, Bernardo2, Autor
Holzmann, Nicole1, 3, Autor
Crawford, Ophelia1, Autor
Camps, Joan1, Autor
Neese, Frank4, Autor           
Schopf, Patrick3, Autor
Affiliations:
1Riverlane Research Ltd, Cambridge, UK, ou_persistent22              
2FAccTs GmbH, Köln, Germany, ou_persistent22              
3Astex Pharmaceuticals, Cambridge, UK, ou_persistent22              
4Research Department Neese, Max-Planck-Institut für Kohlenforschung, Max Planck Society, ou_2541710              

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Schlagwörter: drugs; embedding; enzymes; photochemistry; quantum computers
 Zusammenfassung: Quantum computers are special purpose machines that are expected to be particularly useful in simulating strongly correlated chemical systems. The quantum computer excels at treating a moderate number of orbitals within an active space in a fully quantum mechanical manner. We present a quantum phase estimation calculation on F2 in a (2,2) active space on Rigetti's Aspen-11 QPU. While this is a promising start, it also underlines the need for carefully selecting the orbital spaces treated by the quantum computer. In this work, a scheme for selecting such an active space automatically is described and simulated results obtained using both the quantum phase estimation (QPE) and variational quantum eigensolver (VQE) algorithms are presented and combined with a subtractive method to enable accurate description of the environment. The active occupied space is selected from orbitals localized on the chemically relevant fragment of the molecule, while the corresponding virtual space is chosen based on the magnitude of interactions with the occupied space calculated from perturbation theory. This protocol is then applied to two chemical systems of pharmaceutical relevance: the enzyme [Fe] hydrogenase and the photosenzitizer temoporfin. While the sizes of the active spaces currently amenable to a quantum computational treatment are not enough to demonstrate quantum advantage, the procedure outlined here is applicable to any active space size, including those that are outside the reach of classical computation.

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Sprache(n): eng - English
 Datum: 2022-02-042022-07-052023-01-30
 Publikationsstatus: Erschienen
 Seiten: 16
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/jcc.26958
 Art des Abschluß: -

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Titel: Journal of Computational Chemistry
  Kurztitel : J. Comput. Chem.
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: New York : Wiley
Seiten: - Band / Heft: 44 (3) Artikelnummer: - Start- / Endseite: 406 - 421 Identifikator: ISSN: 0192-8651
CoNE: https://pure.mpg.de/cone/journals/resource/954925489848