| 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 | 92 | 2020 |
| 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 | 51 | 2013 |
| Tuning quantum channels to maximize polarization entanglement for telecom photon pairs DE Jones, BT Kirby, M Brodsky npj Quantum Information 4 (1), 58, 2018 | 47 | 2018 |
| Entanglement swapping of two arbitrarily degraded entangled states BT Kirby, S Santra, VS Malinovsky, M Brodsky Physical Review A 94 (1), 012336, 2016 | 42 | 2016 |
| 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 | 30 | 2019 |
| 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 | 28 | 2021 |
| Macroscopic state interferometry over large distances using state discrimination BT Kirby, JD Franson Physical Review A 89 (3), 033861, 2014 | 27 | 2014 |
| 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 | 23 | 2021 |
| 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 | 16 | 2021 |
| 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 | 15 | 2022 |
| 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 | 13 | 2020 |
| 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 | 12 | 2022 |
| 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 | 11 | 2023 |
| 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 | 11 | 2022 |
| 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 | 11 | 2022 |
| 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 | 11 | 2021 |
| Joint characterization of two single photon detectors with a fiber-based source of entangled photon pairs DE Jones, BT Kirby, M Brodsky Laser Science, JW4A. 37, 2017 | 9 | 2017 |
| Feasibility of single-photon cross-phase modulation using metastable xenon in a high finesse cavity BT Kirby, GT Hickman, TB Pittman, JD Franson Optics Communications 337, 57-61, 2015 | 9 | 2015 |
| 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 | 8 | 2023 |
| Machine-Learning-Derived Entanglement Witnesses ACB Greenwood, LTH Wu, EY Zhu, BT Kirby, L Qian Physical Review Applied 19 (3), 034058, 2023 | 8 | 2023 |
Michael BrodskyU.S. Army Research Laboratory在 army.mil 的电子邮件经过验证
