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  Dynamical structure factors of dynamical quantum simulators

Baez, M. L., Goihl, M., Haferkamp, J., Bermejo-Vega, J., Gluza, M., & Eisert, J. (2020). Dynamical structure factors of dynamical quantum simulators. PNAS, 117(42), 26123-26134. doi:10.1073/pnas.2006103117.

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Baez, Maria Laura1, Autor           
Goihl, Marcel2, Autor
Haferkamp, Jonas2, Autor
Bermejo-Vega, Juani2, Autor
Gluza, Marek2, Autor
Eisert, Jens2, Autor
Affiliations:
1Max Planck Institute for the Physics of Complex Systems, Max Planck Society, ou_2117288              
2external, ou_persistent22              

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 Zusammenfassung: The dynamical structure factor is one of the experimental quantities crucial in scrutinizing the validity of the microscopic description of strongly correlated systems. However, despite its long-standing importance, it is exceedingly difficult in generic cases to numerically calculate it, ensuring that the necessary approximations involved yield a correct result. Acknowledging this practical difficulty, we discuss in what way results on the hardness of classically tracking time evolution under local Hamiltonians are precisely inherited by dynamical structure factors and, hence, offer in the same way the potential computational capabilities that dynamical quantum simulators do: We argue that practically accessible variants of the dynamical structure factors are bounded-error quantum polynomial time (BQP)-hard for general local Hamiltonians. Complementing these conceptual insights, we improve upon a novel, readily available measurement setup allowing for the determination of the dynamical structure factor in different architectures, including arrays of ultra-cold atoms, trapped ions, Rydberg atoms, and super-conducting qubits. Our results suggest that quantum simulations employing near-term noisy intermediate-scale quantum devices should allow for the observation of features of dynamical structure factors of correlated quantum matter in the presence of experimental imperfections, for larger system sizes than what is achievable by classical simulation.

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 Datum: 2020-10-022020-10-20
 Publikationsstatus: Erschienen
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 Identifikatoren: ISI: 000580597300028
DOI: 10.1073/pnas.2006103117
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Titel: PNAS
  Andere : Proceedings of the National Academy of Sciences of the United States of America
  Andere : Proceedings of the National Academy of Sciences of the USA
  Kurztitel : Proc. Natl. Acad. Sci. U. S. A.
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Washington, D.C. : National Academy of Sciences
Seiten: - Band / Heft: 117 (42) Artikelnummer: - Start- / Endseite: 26123 - 26134 Identifikator: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230