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ORCIDJoseph M. Lukens
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2020 – today
- 2024
[c4]Alexander Miloshevsky, Hsuan-Hao Lu, Lucas M. Cohen, Karthik Vijay Annur Myilswamy, Saleha Fatema, Muneer Alshowkan, Andrew M. Weiner, Joseph M. Lukens:
CMOS photonic integrated circuit for flex-grid polarization entanglement. OFC 2024: 1-3- [i8]Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law:
SMC Is All You Need: Parallel Strong Scaling. CoRR abs/2402.06173 (2024) - [i7]Muneer Alshowkan, Joseph M. Lukens, Hsuan-Hao Lu, Nicholas A. Peters:
Resilient Entanglement Distribution in a Multihop Quantum Network. CoRR abs/2407.20443 (2024) - 2023
- [j4]Sanjaya Lohani
, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Dimension-adaptive machine learning-based quantum state reconstruction. Quantum Mach. Intell. 5(1): 1-10 (2023) - [c3]Nageswara S. V. Rao, Muneer Alshowkan, Joseph C. Chapman, Nicholas A. Peters, Joseph M. Lukens:
Throughput Measurements and Capacity Estimates for Quantum Connections. INFOCOM Workshops 2023: 1-6 - [i6]Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby:
On the connection between least squares, regularization, and classical shadows. CoRR abs/2310.16921 (2023) - 2022
- [j3]Muneer Alshowkan, Philip G. Evans, Brian P. Williams, Nageswara S. V. Rao, Claire E. Marvinney, Yun-Yi Pai, Benjamin J. Lawrie, Nicholas A. Peters, Joseph M. Lukens:
Advanced architectures for high-performance quantum networking. JOCN 14(6): 493-499 (2022) - [j2]Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Data-centric machine learning in quantum information science. Mach. Learn. Sci. Technol. 3(4): 4 (2022) - [j1]Joseph M. Lukens, Ali Passian, Srikanth B. Yoginath, Kody J. H. Law, Joel A. Dawson:
Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security. Sensors 22(16): 6112 (2022) - [c2]Nicholas A. Peters, Muneer Alshowkan, Joseph C. Chapman, Philip G. Evans, David A. Hooper, Warren P. Grice, Hsuan-Hao Lu, Joseph M. Lukens, Raphael C. Pooser, Claire E. Marvinney, Alexander Miloshevsky, Brian P. Williams, Brandon A. Wilson:
Quantum Networking and Communications at Oak Ridge National Laboratory. INFOCOM Workshops 2022: 1-6 - [i5]Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Data-Centric Machine Learning in Quantum Information Science. CoRR abs/2201.09134 (2022) - [i4]Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Dimension-adaptive machine-learning-based quantum state reconstruction. CoRR abs/2205.05804 (2022) - [i3]Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Demonstration of machine-learning-enhanced Bayesian quantum state estimation. CoRR abs/2212.08032 (2022) - 2021
- [c1]Muneer Alshowkan, Nageswara S. V. Rao, Joseph C. Chapman, Brian P. Williams, Philip G. Evans, Raphael C. Pooser, Joseph M. Lukens, Nicholas A. Peters:
Lessons Learned on the Interface Between Quantum and Conventional Networking. SMC 2021: 262-279 - [i2]Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby:
Improving application performance with biased distributions of quantum states. CoRR abs/2107.07642 (2021) - 2020
- [i1]Joseph M. Lukens, Nicholas Lagakos, Victor Kaybulkin, Christopher J. Vizas, Daniel J. King:
Intensity-Modulated Fiber-Optic Voltage Sensors for Power Distribution Systems. CoRR abs/2001.05412 (2020)
Coauthor Index
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