Numerical Investigation of a Coupled Micropillar - Waveguide System for Integrated Quantum Photonic Circuits

IF 4.3 Q1 OPTICS Advanced quantum technologies Pub Date : 2024-08-26 DOI:10.1002/qute.202400195
Léo J. Roche, Fridtjof Betz, Yuhui Yang, Imad Limame, Ching-Wen Shih, Sven Burger, Stephan Reitzenstein
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Abstract

The on-chip resonant excitation of single quantum dots (QDs) via integrated microlasers represents an effective and scalable method for integrated quantum photonics applications based on on-demand single-photon emitters. In this study, the design and numerical optimization of the evanescent coupling between whispering gallery modes (WGMs) of a micropillar resonator and a nearby single-mode ridge waveguide in the Al(Ga)As/GaAs material system are presented. In this study, such systems are examined within a wavelength range of 930 nm, which is suitable for resonant excitation of typical self-assembled InGaAs quantum dots. In particular, the coupling and the transmitted optical power of a WGM resonator to a ridge waveguide are examined for a range of gap spacings, with the objective of optimizing the photon coupling efficiency and Q-factor of the monolithically integrated nanophotonic system. The findings of this study enable to identify the best device parameters for subsequent device fabrication. The findings establish a foundation for the production of highly effective photonic quantum circuits through the use of WGM microlasers integrated into evanescently coupled waveguide systems, including resonantly excited single quantum dots.

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用于集成量子光子电路的微柱-波导耦合系统的数值研究
通过集成微激光器对单个量子点(QDs)进行片上共振激发,是基于按需单光子发射器的集成量子光子学应用的一种有效且可扩展的方法。本研究介绍了微柱谐振器的耳语画廊模式(WGMs)与 Al(Ga)As/GaAs 材料系统中附近单模脊波导之间的蒸发耦合的设计和数值优化。本研究在 930 nm 波长范围内对此类系统进行了研究,该波长范围适用于典型自组装 InGaAs 量子点的共振激励。特别是,研究了 WGM 谐振器与脊波导在一定间隙范围内的耦合和传输光功率,目的是优化单片集成纳米光子系统的光子耦合效率和 Q 因子。这项研究的结果有助于确定后续器件制造的最佳器件参数。这些发现为通过使用集成到闪烁耦合波导系统(包括共振激发的单量子点)中的 WGM 微激光器制造高效光子量子电路奠定了基础。
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Issue Information (Adv. Quantum Technol. 12/2025) Inside Front Cover: Quantum-Enhanced Simulated Annealing Using Rydberg Atoms (Adv. Quantum Technol. 12/2025) Inside Back Cover: Method for Noise-Induced Regularization in Quantum Neural Networks (Adv. Quantum Technol. 12/2025) Back Cover: Quantum-Noise-Driven Generative Diffusion Models (Adv. Quantum Technol. 12/2025) Front Cover: Intelligent Generative Models for Quantum Neural Networks (Adv. Quantum Technol. 12/2025)
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