Abstract
Current proposals for scalable photonic quantum technologies require on-demand sources of indistinguishable single photons with very high efficiency. Even with recent progress in the field there is still a significant gap between the requirements and state of the art performance. Here, we propose an on-chip source of time-multiplexed, heralded photons. Using quantum feedback control on a photon storage cavity with an optimized driving protocol, we estimate an on-demand efficiency of 99% and unheralded loss of order 1%, assuming high efficiency detectors and intrinsic cavity quality factors of order 108. We further explain how temporal- and spectral-multiplexing can be used in parallel to significantly reduce device requirements if single photon frequency conversion is possible with efficiency in the same range of 99%.
Highlights
Achieving sources of on-demand pure single photon states has been a long-standing goal of quantum information science [1]
The efficiency of sources based on probabilistic processes, such as parametric down-conversion and spontaneous four-wave mixing, has been improved by multiplexing either spatial [5], temporal [6, 7], or spectral [8] degrees of freedom of photons
We investigate the feasibility of single photon sources that meet the requirements of scalable photonic quantum technologies: near-unity purity single photons produced in a reproducable chip-integrated photonic circuit
Summary
Achieving sources of on-demand pure single photon states has been a long-standing goal of quantum information science [1]. The efficiency of sources based on probabilistic processes, such as parametric down-conversion and spontaneous four-wave mixing (sFWM), has been improved by multiplexing either spatial [5], temporal [6, 7], or spectral [8] degrees of freedom of photons Despite this progress, a large gap remains between state of-the art demonstrations and the requirements of proposed quantum information processing technologies, including photonic quantum repeaters [9], precision sensors [10], and photonic quantum computing [11, 12].
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