Joseph M. Lukens

19 papers B 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles.
CoRR
Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani, Brian T. Kirby, Thomas A. Searles, Xin Qiu, Kody J. H. Law
2024 — conf
CMOS photonic integrated circuit for flex-grid polarization entanglement.
OFC
Alexander Miloshevsky, Hsuan-Hao Lu, Lucas M. Cohen, Karthik Vijay Annur Myilswamy, Saleha Fatema, Muneer Alshowkan, Andrew M. Weiner, Joseph M. Lukens
2024 — conf
Entanglement Capacity Estimates and Throughput Measurements of Quantum Channels.
SC Workshops
Nageswara S. V. Rao, Muneer Alshowkan, Joseph C. Chapman, Nicholas A. Peters, Hsuan-Hao Lu, Joseph M. Lukens, Saikat Guha
2024 J jnl
On the connection between least squares, regularization, and classical shadows.
Quantum
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
2024 J jnl
Resilient Entanglement Distribution in a Multihop Quantum Network.
CoRR
Muneer Alshowkan, Joseph M. Lukens, Hsuan-Hao Lu, Nicholas A. Peters
2024 J jnl
SMC Is All You Need: Parallel Strong Scaling.
CoRR
Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law
2023 J jnl
Dimension-adaptive machine learning-based quantum state reconstruction.
Quantum Mach. Intell.
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2023 J jnl
On the connection between least squares, regularization, and classical shadows.
CoRR
Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby
2023 — conf
Throughput Measurements and Capacity Estimates for Quantum Connections.
INFOCOM Workshops
Nageswara S. V. Rao, Muneer Alshowkan, Joseph C. Chapman, Nicholas A. Peters, Joseph M. Lukens
2022 J jnl
Advanced architectures for high-performance quantum networking.
JOCN
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
2022 J jnl
Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security.
Sensors
Joseph M. Lukens, Ali Passian, Srikanth B. Yoginath, Kody J. H. Law, Joel A. Dawson
2022 J jnl
Data-Centric Machine Learning in Quantum Information Science.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Data-centric machine learning in quantum information science.
Mach. Learn. Sci. Technol.
Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Demonstration of machine-learning-enhanced Bayesian quantum state estimation.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 J jnl
Dimension-adaptive machine-learning-based quantum state reconstruction.
CoRR
Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby
2022 — conf
Quantum Networking and Communications at Oak Ridge National Laboratory.
INFOCOM Workshops
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
2021 J jnl
Improving application performance with biased distributions of quantum states.
CoRR
Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby
2021 B conf
Lessons Learned on the Interface Between Quantum and Conventional Networking.
SMC
Muneer Alshowkan, Nageswara S. V. Rao, Joseph C. Chapman, Brian P. Williams, Philip G. Evans, Raphael C. Pooser, Joseph M. Lukens, Nicholas A. Peters
2020 J jnl
Intensity-Modulated Fiber-Optic Voltage Sensors for Power Distribution Systems.
CoRR
Joseph M. Lukens, Nicholas Lagakos, Victor Kaybulkin, Christopher J. Vizas, Daniel J. King