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Brian T. Kirby
Brian T. Kirby
US Army Research Laboratory
Zweryfikowany adres z army.mil - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Machine learning assisted quantum state estimation
S Lohani, BT Kirby, M Brodsky, O Danaci, RT Glasser
Machine Learning: Science and Technology 1 (3), 035007, 2020
1072020
Nonlocal interferometry using macroscopic coherent states and weak nonlinearities
BT Kirby, JD Franson
Physical Review A—Atomic, Molecular, and Optical Physics 87 (5), 053822, 2013
512013
Tuning quantum channels to maximize polarization entanglement for telecom photon pairs
DE Jones, BT Kirby, M Brodsky
npj Quantum Information 4 (1), 58, 2018
492018
Entanglement swapping of two arbitrarily degraded entangled states
BT Kirby, S Santra, VS Malinovsky, M Brodsky
Physical Review A 94 (1), 012336, 2016
462016
Machine learning pipeline for quantum state estimation with incomplete measurements
O Danaci, S Lohani, BT Kirby, RT Glasser
Machine Learning: Science and Technology 2 (3), 035014, 2021
322021
Effect of polarization dependent loss on the quality of transmitted polarization entanglement
BT Kirby, DE Jones, M Brodsky
Journal of Lightwave Technology 37 (1), 95-102, 2019
312019
Macroscopic state interferometry over large distances using state discrimination
BT Kirby, JD Franson
Physical Review A 89 (3), 033861, 2014
272014
On the experimental feasibility of quantum state reconstruction via machine learning
S Lohani, TA Searles, BT Kirby, RT Glasser
IEEE Transactions on Quantum Engineering 2, 1-10, 2021
262021
Broadband polarization-entangled source for C+ L-band flex-grid quantum networks
M Alshowkan, JM Lukens, HH Lu, BT Kirby, BP Williams, WP Grice, ...
Optics Letters 47 (24), 6480-6483, 2022
232022
Complete characterization of quantum correlations by randomized measurements
N Wyderka, A Ketterer, S Imai, JL Bönsel, DE Jones, BT Kirby, XD Yu, ...
Physical Review Letters 131 (9), 090201, 2023
192023
Improving application performance with biased distributions of quantum states
S Lohani, JM Lukens, DE Jones, TA Searles, RT Glasser, BT Kirby
Physical Review Research 3 (4), 043145, 2021
172021
Exploring classical correlations in noise to recover quantum information using local filtering
DE Jones, BT Kirby, G Riccardi, C Antonelli, M Brodsky
New Journal of Physics 22 (7), 073037, 2020
172020
Data-centric machine learning in quantum information science
S Lohani, JM Lukens, RT Glasser, TA Searles, BT Kirby
Machine Learning: Science and Technology 3 (4), 04LT01, 2022
162022
Machine-Learning-Derived Entanglement Witnesses
ACB Greenwood, LTH Wu, EY Zhu, BT Kirby, L Qian
Physical Review Applied 19 (3), 034058, 2023
152023
Efficient entanglement distillation for quantum channels with polarization mode dispersion
L Ruan, BT Kirby, M Brodsky, MZ Win
Physical Review A 103 (3), 032425, 2021
152021
Telecom-band hyperentangled photon pairs from a fiber-based source
C Chen, C Xu, A Riazi, EY Zhu, ACB Greenwood, AV Gladyshev, ...
Physical Review A 105 (4), 043702, 2022
142022
Telecom-band hyperentangled photon pairs from a fiber-based source
C Chen, C Xu, A Riazi, EY Zhu, ACB Greenwood, AV Gladyshev, ...
Physical Review A 105 (4), 043702, 2022
142022
Coexistent quantum channel characterization using spectrally resolved Bayesian quantum process tomography
JC Chapman, JM Lukens, M Alshowkan, N Rao, BT Kirby, NA Peters
Physical Review Applied 19 (4), 044026, 2023
132023
Deep learning for enhanced free-space optical communications
MP Bart, NJ Savino, P Regmi, L Cohen, H Safavi, HC Shaw, S Lohani, ...
Machine Learning: Science and Technology 4 (4), 045046, 2023
102023
Exploring the relationship between the faithfulness and entanglement of two qubits
G Riccardi, DE Jones, XD Yu, O Gühne, BT Kirby
Physical Review A 103 (4), 042417, 2021
102021
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