145 citations · 992 across the 45 of their papers we have counts for
45 papers
Classification of Single Photons in Higher-Order Spatial Modes via Convolutional Neural Networks
Manon P. Bart, Sita Dawanse, Nicholas J. Savino +7
Spatial modes are a promising candidate for encoding information for classical and quantum optical communication due to their potential high information capacity. Unfortunately, co…
ManQala: Game-Inspired Strategies for Quantum State Engineering
Onur Danaci, Wenlei Zhang, Robert Coleman +6
The ability to prepare systems in specific target states through quantum engineering is essential for realizing the new technologies promised by a second quantum revolution. Here,…
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…