5 citations · 5 across the 8 of their papers we have counts for
8 papers
Improving the loss threshold for quantum advantage in photonic sensors by complete photon counting
Gerard J. Machado, Yazeed K. Alwehaibi, Guillaume Thekkadath +9
Tolerance to imperfections is a defining performance criterion for quantum sensors. The threshold for achieving a quantum advantage depends on the input state, sensor configuration…
An Atomic Interface for High-Dimensional Temporal Mode Quantum Networks
Shicheng Zhang, Aonan Zhang, Ilse Maillette de Buy Wenniger +5
Temporal modes of photons are a promising encoding scheme for high-dimensional quantum networks due to their high channel capacity and fiber compatibility. However, realizing their…
Machine learning of quantum data using optimal similarity measurements
Zhenghao Li, Hao Zhan, Shana H. Winston +11
Quantum machine learning seeks a computational advantage in data processing by evaluating functions of quantum states, such as their similarity, that can be classically intractable…
Topological network analysis using a programmable photonic quantum processor
Shang Yu, Jinzhao Sun, Zhenghao Li +11
Understanding topological features in networks is crucial for unravelling complex phenomena across fields such as neuroscience, condensed matter, and high-energy physics. However,…
Super-resolving frequency measurement with mode-selective quantum memory
Shicheng Zhang, Aonan Zhang, Ilse Maillette de Buy Wenniger +5
High-precision optical frequency measurement underpins modern science and technology, yet conventional spectroscopic techniques struggle to resolve sub-linewidth spectral features.…
Boosting Photon-Number-Resolved Detection Rates of Transition-Edge Sensors by Machine Learning
Zhenghao Li, Matthew J. H. Kendall, Gerard J. Machado +7
Transition-Edge Sensors (TESs) are very effective photon-number-resolving (PNR) detectors that have enabled many photonic quantum technologies. However, their relatively slow therm…
Enhancing Quantum Memories with Light-Matter Interference
Paul M. Burdekin, Ilse Maillette de Buy Wenniger, Stephen Sagona-Stophel +4
Future optical quantum technologies, such as quantum networks, distributed quantum computing and sensing, demand efficient, broadband quantum memories. However, achieving high effi…
Shedding Light on the Future: Exploring Quantum Neural Networks through Optics
Shang Yu, Zhian Jia, Aonan Zhang +7
At the dynamic nexus of artificial intelligence and quantum technology, quantum neural networks (QNNs) play an important role as an emerging technology in the rapidly developing fi…