Status: Bibliographieeintrag
Standort: ---
Exemplare:
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| Online-Ressource |
Verfasst von: | Czischek, Stefanie [VerfasserIn]  |
| Pawlowski, Jan M. [VerfasserIn]  |
| Gasenzer, Thomas [VerfasserIn]  |
| Gärttner, Martin [VerfasserIn]  |
Titel: | Sampling scheme for neuromorphic simulation of entangled quantum systems |
Verf.angabe: | Stefanie Czischek, Jan M. Pawlowski, Thomas Gasenzer, and Martin Gärttner |
E-Jahr: | 2019 |
Jahr: | 13 November 2019 |
Umfang: | 14 S. |
Fussnoten: | Gesehen am 11.03.2020 |
Titel Quelle: | Enthalten in: Physical review |
Ort Quelle: | Woodbury, NY : Inst., 2016 |
Jahr Quelle: | 2019 |
Band/Heft Quelle: | 100(2019,19) Artikel-Nummer 195120, 14 Seiten |
ISSN Quelle: | 2469-9969 |
Abstract: | Due to the complexity of the space of quantum many-body states, the computation of expectation values by statistical sampling is, in general, a hard task. Neural network representations of such quantum states, which can be physically implemented by neuromorphic hardware, could enable efficient sampling. A scheme is proposed that leverages this capability to speed up sampling from so-called neural quantum states encoded by a restricted Boltzmann machine. Due to the complex network parameters, a direct hardware implementation is not feasible. We overcome this problem by considering a phase-reweighting scheme for sampling expectation values of observables. Applying our method to a set of paradigmatic entangled quantum states we find that, in general, the phase-reweighted sampling is subject to a form of sign problem, which renders the sampling computationally costly. The use of neuromorphic chips could allow reducing computation times and thereby extend the range of tractable system sizes. |
DOI: | doi:10.1103/PhysRevB.100.195120 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext ; Verlag: https://doi.org/10.1103/PhysRevB.100.195120 |
| Volltext: https://link.aps.org/doi/10.1103/PhysRevB.100.195120 |
| DOI: https://doi.org/10.1103/PhysRevB.100.195120 |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 1692290495 |
Verknüpfungen: | → Zeitschrift |
Sampling scheme for neuromorphic simulation of entangled quantum systems / Czischek, Stefanie [VerfasserIn]; 13 November 2019 (Online-Ressource)
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