Joseph M. Lukens

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Tikhonov Regularization

Power Distribution

Machine Learning

Bayesian Estimation

Top Venues

Mach. Learn. Sci. Technol.

Publications

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 (2024)
Muneer Alshowkan, Joseph M. Lukens, Hsuan-Hao Lu, Nicholas A. Peters
Resilient Entanglement Distribution in a Multihop Quantum Network. CoRR (2024)
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)
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
On the connection between least squares, regularization, and classical shadows. CoRR (2023)
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) (2023)
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)
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 (2022)
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) (2022)
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 (2022)
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
Data-Centric Machine Learning in Quantum Information Science. CoRR (2022)
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) (2022)
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)
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 (2021)
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) (2021)
Joseph M. Lukens, Nicholas Lagakos, Victor Kaybulkin, Christopher J. Vizas, Daniel J. King
Intensity-Modulated Fiber-Optic Voltage Sensors for Power Distribution Systems. CoRR (2020)