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20232026
most citedCavity-Quantum Electrodynamics with Moiré Flatband Photonic Crystals

26 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2026

Multi-Modal Spectroscopy Theory for Ultrafast Control of Rabi Oscillations

J. W. Yu, H. B Wang, X. Q. Zhou +10

We propose a three-cavity scheme to realize full control of the emitter-cavity coupling strength in cavity quantum electrodynamics (cQED). The involvement of coupled oscillators gi…

quant-ph2026

Quantum-Optically Resolving the Number of Colloidal Quantum Dots in a Subwavelength Volume

Zhi-Bo Ni, Jia-Wang Yu, Jiong-Zhao Li +9

The number resolution of solid-state artificial atoms is of fundamental interest for the study of quantum few-body systems, yet remains experimentally challenging. Quantum optical…

physics.optics2025

Single mode lasing and spectral narrowing in photonic crystal line-defect cavities via spatially selected Bloch modes

Shu-Ning Ding, Ling-Fang Wang, Xiao-Tian Cheng +10

The demand for high-efficiency and miniaturized on-chip light sources drives continuous innovation in photonic crystal (PhC) microcavity lasers. The presence of slow-light effects…

quant-ph2025

Enhancing Photon Indistinguishability of Spectrally Mismatched Single Photons by Cavity Floquet Engineering

J. W. Yu, X. Q. Zhou, Z. B. Ni +6

We theoretically propose a scheme to enhance the photon indistinguishability of spectrally mismatched single photons via Floquet-engineered optical frequency combs (OFCs) in cavity…

physics.optics2024★ 26 cited

Cavity-Quantum Electrodynamics with Moiré Flatband Photonic Crystals

Yu-Tong Wang, Qi-Hang Ye, Jun-Yong Yan +18

Quantum emitters are a key component in photonic quantum technologies. Enhancing their single-photon emission by engineering the photonic environment using cavities can significant…

eess.SP2023★ 1 cited

Slimmed optical neural networks with multiplexed neuron sets and a corresponding backpropagation training algorithm

Yi-Feng Liu, Rui-Yao Ren, Dai-Bao Hou +7

Due to their intrinsic capabilities on parallel signal processing, optical neural networks (ONNs) have attracted extensive interests recently as a potential alternative to electron…