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Accuracy of the Quantum Regression Theorem for Photon Emission from a Quantum Dot

Title data

Cosacchi, Michael ; Seidelmann, Tim ; Cygorek, Moritz ; Vagov, Alexei ; Reiter, D. E. ; Axt, Vollrath Martin:
Accuracy of the Quantum Regression Theorem for Photon Emission from a Quantum Dot.
In: Physical Review Letters. Vol. 127 (2021) Issue 10 . - No. 100402.
ISSN 1079-7114
DOI: https://doi.org/10.1103/PhysRevLett.127.100402

Project information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

The quantum regression theorem (QRT) is the most widely used tool for calculating multitime correlation functions for the assessment of quantum emitters. It is an approximate method based on a Markov assumption for environmental coupling. In this Letter we quantify properties of photons emitted from a single quantum dot coupled to phonons. For the single-photon purity and the indistinguishability, we compare numerically exact path-integral results with those obtained from the QRT. It is demonstrated that the QRT systematically overestimates the influence of the environment for typical quantum dots used in quantum information technology.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Quantum Regression Theorem; Non-Markovian dynamics; Quantum Optics; nonlinear optics; ultrafast dynamics; Path-integrals; numerical excat treatment
Subject classification: condensed matter physics (theoretical)
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics > Chair Theoretical Physics III > Chair Theoretical Physics III - Univ.-Prof. Dr. Martin Axt
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics > Chair Theoretical Physics III
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 530 Physics
Date Deposited: 03 Sep 2021 06:48
Last Modified: 09 May 2022 12:28
URI: https://eref.uni-bayreuth.de/id/eprint/66909