Fitzke, Erik ; Niederschuh, Florian ; Walther, Thomas (2023)
Simulating the Photon Statistics of Gaussian States Employing Automatic Differentiation from PyTorch.
doi: 10.26083/tuprints-00023061
Report, Erstveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
Many common photonic states are so-called Gaussian states. In a recent manuscript, we have shown how the photon statistics of such states can be obtained by constructing and differentiating generating functions. In this technical report, we demonstrate the straightforward application of the framework PyTorch to compute the required multivariate higher-order derivatives by automatic differentiation. Its implementation requires only a few lines of Python code corroborating the strength of our approach based on generating functions for the computation of photon statistics.
| Typ des Eintrags: | Report |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Fitzke, Erik ; Niederschuh, Florian ; Walther, Thomas |
| Art des Eintrags: | Erstveröffentlichung |
| Titel: | Simulating the Photon Statistics of Gaussian States Employing Automatic Differentiation from PyTorch |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Ort: | Darmstadt |
| Kollation: | 13 Seiten |
| DOI: | 10.26083/tuprints-00023061 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/23061 |
| Kurzbeschreibung (Abstract): | Many common photonic states are so-called Gaussian states. In a recent manuscript, we have shown how the photon statistics of such states can be obtained by constructing and differentiating generating functions. In this technical report, we demonstrate the straightforward application of the framework PyTorch to compute the required multivariate higher-order derivatives by automatic differentiation. Its implementation requires only a few lines of Python code corroborating the strength of our approach based on generating functions for the computation of photon statistics. |
| Freie Schlagworte: | PyTorch, Gaussian boson sampling, Gaussian states, probability generating function, photon statistics, quantum key distribution, quantum simulation, automatic differentiation |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-230615 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 530 Physik |
| Fachbereich(e)/-gebiet(e): | 05 Fachbereich Physik 05 Fachbereich Physik > Institut für Angewandte Physik 05 Fachbereich Physik > Institut für Angewandte Physik > Laser und Quantenoptik |
| Hinterlegungsdatum: | 09 Jan 2023 13:11 |
| Letzte Änderung: | 10 Jan 2023 08:21 |
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