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20242026
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quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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,…

quant-ph2025

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…

quant-ph2024

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…