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Single-photon sources based on asymmetric spatial multiplexing with optimized inputs

Adam, Peter and Bodog, Ferenc and Koniorczyk, Matyas and Mechler, Matyas (2022) Single-photon sources based on asymmetric spatial multiplexing with optimized inputs. Physical Review A, 105 (6). ArtNo: 063721. ISSN 2469-9926

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Abstract

We develop a statistical theory describing the operation of multiplexed single-photon sources equipped with photon-number-resolving detectors that includes the potential use of different input mean photon numbers in each of the multiplexed units. This theory accounts for all relevant loss mechanisms and allows for the maximization of the single-photon probabilities under realistic conditions by optimizing the different input mean photon numbers unit-wise and the detection strategy that can be defined in terms of actual detected photon numbers. We apply this description to analyze periodic single-photon sources based on asymmetric spatial multiplexing realized with general asymmetric routers. We show that optimizing the different input mean photon numbers results in maximal single-photon probabilities higher than those achieved by using optimal identical input mean photon numbers in this setup. We identify the parameter ranges of the system for which the enhancement in the single-photon probability for the various detection strategies is relevant. An additional advantage of the unit-wise optimization of the input mean photon numbers is that it can result in the decrease of the optimal system size needed to maximize the single-photon probability. We find that the highest single-photon probability that our scheme can achieve in principle when realized with state-of-the-art bulk optical elements is 0.935. This is the highest one to our knowledge that has been reported thus far in the literature for experimentally realizable single-photon sources.

Item Type: Article
Subjects: Q Science / természettudomány > QC Physics / fizika > QC02 Optics / fénytan
Depositing User: Gabor Almasi
Date Deposited: 28 Mar 2023 11:08
Last Modified: 28 Mar 2023 11:08
URI: http://real.mtak.hu/id/eprint/162817

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