565 citations · 5.6k across the 116 of their papers we have counts for
9 papers · 1 filter
Improved heralded single-photon source with a photon-number-resolving superconducting nanowire detector
Samantha I. Davis, Andrew Mueller, Raju Valivarthi +9
Deterministic generation of single photons is essential for many quantum information technologies. A bulk optical nonlinearity emitting a photon pair, where the measurement of one…
Illinois Express Quantum Network for Distributing and Controlling Entanglement on Metro-Scale
Wenji Wu, Joaquin Chung, Gregory Kanter +12
We describe an implementation of a quantum network over installed fiber in the Chicago area.We present network topology and control architecture of this network and illustrate prel…
Impedance-matched differential superconducting nanowire detectors
Marco Colangelo, Boris Korzh, Jason P. Allmaras +24
Superconducting nanowire single-photon detectors (SNSPDs) are the highest performing photon-counting technology in the near-infrared (NIR). Due to delay-line effects, large area SN…
Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders
Eric A. Moreno, Jean-Roch Vlimant, Maria Spiropulu +2
We present an application of anomaly detection techniques based on deep recurrent autoencoders to the problem of detecting gravitational wave signals in laser interferometers. Trai…
Illinois Express Quantum Network (IEQNET): Metropolitan-scale experimental quantum networking over deployed optical fiber
Joaquin Chung, Gregory Kanter, Nikolai Lauk +11
The Illinois Express Quantum Network (IEQNET) is a program to realize metro-scale quantum networking over deployed optical fiber using currently available technology. IEQNET consis…
Test beam characterization of sensor prototypes for the CMS Barrel MIP Timing Detector
R. Abbott, A. Abreu, F. Addesa +196
The MIP Timing Detector will provide additional timing capabilities for detection of minimum ionizing particles (MIPs) at CMS during the High Luminosity LHC era, improving event re…
Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
V Hewes, Adam Aurisano, Giuseppe Cerati +14
This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino interactions in a Liquid Argon Time Projection Chamber (LArTPC). GNNs are still…
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking
Xiangyang Ju, Daniel Murnane, Paolo Calafiura +21
The Exa.TrkX project has applied geometric learning concepts such as metric learning and graph neural networks to HEP particle tracking. Exa.TrkX's tracking pipeline groups detecto…
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
Joosep Pata, Javier Duarte, Jean-Roch Vlimant +2
In general-purpose particle detectors, the particle-flow algorithm may be used to reconstruct a comprehensive particle-level view of the event by combining information from the cal…