Single-photon sources based on asymmetric spatial multiplexing with optimized inputs
Peter Adam, Ferenc Bodog, Matyas Koniorczyk, and Matyas Mechler

TL;DR
This paper presents a statistical theory for optimizing asymmetric spatial multiplexing single-photon sources with photon-number-resolving detectors, leading to higher single-photon probabilities under realistic conditions.
Contribution
It introduces a novel theory that optimizes input mean photon numbers in multiplexed units, improving single-photon probabilities beyond previous methods.
Findings
Maximal single-photon probability of 0.935 achieved with current optical technology.
Optimization of input photon numbers enhances performance over identical inputs.
Parameter ranges identified where optimization significantly improves single-photon probability.
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 novel 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…
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