7 papers · 1 filter
Gaussian Boson Sampling for Asset Clustering in Statistical Arbitrage Portfolios
Dayne Marcus Lopena, Daniel Buguks, Zhenghao Li +7
Gaussian Boson Sampling (GBS) provides a native photonic quantum heuristic for sampling dense subgraphs from adjacency matrices, offering a scalable physical approach to combinator…
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…
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,…
A Tractable Protocol for Detection-Loophole-Free Bell Tests over Long Distances
Yazeed K. Alwehaibi, Ewan Mer, Gerard J. Machado +3
Certifying genuine nonclassical correlations over long distances is crucial for device-independent (DI) quantum information protocols. However, in photonic platforms this remains t…
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…