Joseph M. Lukens

According to our database, Joseph M. Lukens authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Resilient Entanglement Distribution in a Multihop Quantum Network.

Muneer Alshowkan, Joseph M. Lukens, Hsuan-Hao Lu, Nicholas A. Peters

CoRR, 2024

SMC Is All You Need: Parallel Strong Scaling.

Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law

CoRR, 2024

Entanglement Capacity Estimates and Throughput Measurements of Quantum Channels.

Nageswara S. V. Rao, Muneer Alshowkan, Joseph C. Chapman, Nicholas A. Peters, Hsuan-Hao Lu, Joseph M. Lukens, Saikat Guha

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

CMOS photonic integrated circuit for flex-grid polarization entanglement.

Alexander Miloshevsky, Hsuan-Hao Lu, Lucas M. Cohen, Karthik Vijay Annur Myilswamy, Saleha Fatema, Muneer Alshowkan, Andrew M. Weiner, Joseph M. Lukens

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023

Dimension-adaptive machine learning-based quantum state reconstruction.

Sanjaya Lohani, Sangita Regmi, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby

Quantum Mach. Intell., 2023

On the connection between least squares, regularization, and classical shadows.

Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby

CoRR, 2023

Throughput Measurements and Capacity Estimates for Quantum Connections.

Nageswara S. V. Rao, Muneer Alshowkan, Joseph C. Chapman, Nicholas A. Peters, Joseph M. Lukens

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Data-centric machine learning in quantum information science.

Sanjaya Lohani, Joseph M. Lukens, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby

Mach. Learn. Sci. Technol., December, 2022

Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security.

Joseph M. Lukens, Ali Passian, Srikanth B. Yoginath, Kody J. H. Law, Joel A. Dawson

Sensors, 2022

Advanced architectures for high-performance quantum networking.

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

JOCN, 2022

Demonstration of machine-learning-enhanced Bayesian quantum state estimation.

Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby

CoRR, 2022

Quantum Networking and Communications at Oak Ridge National Laboratory.

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

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Improving application performance with biased distributions of quantum states.

Sanjaya Lohani, Joseph M. Lukens, Daniel E. Jones, Thomas A. Searles, Ryan T. Glasser, Brian T. Kirby

CoRR, 2021

Lessons Learned on the Interface Between Quantum and Conventional Networking.

Muneer Alshowkan, Nageswara S. V. Rao, Joseph C. Chapman, Brian P. Williams, Philip G. Evans, Raphael C. Pooser, Joseph M. Lukens, Nicholas A. Peters

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

2020

Intensity-Modulated Fiber-Optic Voltage Sensors for Power Distribution Systems.

Joseph M. Lukens, Nicholas Lagakos, Victor Kaybulkin, Christopher J. Vizas, Daniel J. King

CoRR, 2020