5 citations · 8 across the 12 of their papers we have counts for
13 papers
Improving the Loss Tolerance of Heralded Photonic GHZ States for Long-Distance Device-Independent Conference Key Agreement
Yazeed K. Alwehaibi, Makoto Ishihara, Shakib Daryanoosh +6
Heralded multipartite entanglement distribution is a key requirement for device-independent conference key agreement (DI-CKA) over lossy quantum networks. Although locally equivale…
Adaptive Relational Learning on Multi-instance Quantum Data with Photonic Processors
Marcin Jastrzebski, Shang Yu, Raj B. Patel +1
Loading multiple quantum states in parallel into a quantum machine learning (QML) model can unlock learning tasks where key information resides in the \emph{relations} between stat…
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…
Displaced Gaussian Boson Sampling for enhanced max-clique search
Ewan Mer, Zhenghao Li, Shang Yu +2
Gaussian Boson Sampling (GBS) is capable of solving certain classes of graph problems owing to the samples produced by such a device having a connection to the hafnian matrix funct…
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…
Extensible universal photonic quantum computing with nonlinearity
Shang Yu, Jinzhao Sun, Kuan-Cheng Chen +17
Universal quantum computing requires an architecture that supports both linear circuits and, crucially, strong nonlinear resources. For quantum photonic systems, integrating such n…
Below-shot-noise capacity in phase estimation using nonlinear interferometers
Cristofero Oglialoro, Gerard J. Machado, Felix Farsch +7
Over the past decade, several schemes for imaging and sensing based on nonlinear interferometers have been proposed and demonstrated experimentally. These interferometers exhibit t…
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…
Adaptive Non-Gaussian Quantum State Engineering
Valerio Crescimanna, Shang Yu, Khabat Heshami +1
Non-Gaussian quantum states of bosons are a key resource in quantum information science with applications ranging from quantum metrology to fault-tolerant quantum computation. Gene…
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…
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…