Scientific Results

Experimental quantum tomography of a homodyne detector

Year: 2017

Authors: Grandi S., Zavatta A., Bellini M., Paris M. G. A.

Autors Affiliation: Centre for Cold Matter, Blackett Laboratory, Imperial College London, Prince Consort Road, SW7 2AZ London, United Kingdom; Istituto Nazionale di Ottica (INO-CNR), I-50125 Florence, Italy; LENS and Department of Physics and Astronomy, University of Florence, I-50019 Sesto Fiorentino, Florence, Italy; Quantum Technology Lab, Dipartimento di Fisica, Università degli Studi di Milano, I-20133 Milano, Italy

Abstract: We suggest and demonstrate a tomographic method to characterise homodyne detectors at the quantum level. The positive operator measure associated with the detector is expanded in a quadrature basis and probed with a set of coherent states. The coefficients of the expansion are then retrieved using a least squares algorithm. Our model is general enough to describe different implementations of the homodyne setup, and it has proven capable of effectively describing the detector response to different tomographic sets. We validate the reconstructed operator measure on nonclassical states and exploit results to estimate the overall quantum efficiency of the detector.


Volume: 19      Pages from: 053015-1  to: 053015-12

More Information: This work has been supported by UniMI through the H2020 Transition Grant 15-6-3008000-625 and by MIUR under the initiative Progetto Premiale: Oltre i limiti classici di misura. SG acknowledge support by the EU under the ITN Frontiers in Quantum Technology (GA317232). MB and AZ acknowledge the support of Ente Cassa di Risparmio di Firenze.
KeyWords: Quantum detector tomography; Quantum states of light; Quantum optics; Quantum theory; Tomography, Homodyne detector; Least squares algorithm; Nonclassical state; Positive operator measure; Quantum detectors; Quantum state; Quantum tomography; Tomographic methods, Homodyne detection
DOI: 10.1088/1367-2630/aa6f2c

Citations: 13
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2021-10-24
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