Journal of the Optical Society of America B

Statistically driven model for efficient analysis of few-photon transport in waveguide quantum electrodynamics

Ruiqi Cui, Dian Tan, Yuecheng Shen

Published Dec 23, 2019• 1 citation

Abstract

Understanding transport properties in quantum nanophotonics plays a central role in designing few-photon devices, yet it suffers from a longstanding extensive computational burden. In this work, we propose a statistically driven model with a tremendously eased computational burden, which is based on the deep understanding of the few-photon spontaneous emission process. By utilizing phenomenological, statistically driven inter-photon offset parameters, the proposed model expedites the transport calculation with a three-order-of-magnitude enhancement of speed in contrast to conventional numerical approaches. We showcase the two-photon transport computation benchmarked by the rigorous analytical approach. Our work provides an efficient tool for designing few-photon nano-devices, and it significantly deepens the understanding of correlated quantum many-body physics.

DOI: 10.1364/josab.380142

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