145 citations · 992 across the 45 of their papers we have counts for
8 papers · 1 filter
Demonstration of machine-learning-enhanced Bayesian quantum state estimation
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis +6
Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum fo…
Deep learning for enhanced free-space optical communications
Manon P. Bart, Nicholas J. Savino, Paras Regmi +8
Atmospheric effects, such as turbulence and background thermal noise, inhibit the propagation of coherent light used in ON-OFF keying free-space optical communication. Here we pres…
Robust Free-Space Optical Communication Utilizing Polarization
Nicholas J. Savino, Jacob M. Leamer, Ravi K. Saripalli +3
Free-space optical (FSO) communication can be subject to various types of distortion and loss as the signal propagates through non-uniform media. In experiment and simulation, we d…
Dimension-adaptive machine-learning-based quantum state reconstruction
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens +3
We introduce an approach for performing quantum state reconstruction on systems of qubits using a machine-learning-based reconstruction system trained exclusively on qubits…
Generation of polarization entanglement via the quantum Zeno effect
Ian C. Nodurft, Harry C. Shaw, Ryan T. Glasser +2
The quantum Zeno effect reveals that the continuous observation of a quantum system can result in significant alterations to its evolution. Here, we present a method for establishi…
Classical Optical Analogue of Quantum Discord
Jacob M. Leamer, Wenlei Zhang, Nicholas J. Savino +4
Quantum discord has been shown to be a resource for quantum advantage in addition to quantum entanglement. While many experiments have demonstrated classical analogies of entanglem…