Joseph M. Lukens

Orcid: 0000-0001-9650-4462

According to our database1, Joseph M. Lukens authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
SMC Is All You Need: Parallel Strong Scaling.
CoRR, 2024

2023
Dimension-adaptive machine learning-based quantum state reconstruction.
Quantum Mach. Intell., 2023

On the connection between least squares, regularization, and classical shadows.
CoRR, 2023

Throughput Measurements and Capacity Estimates for Quantum Connections.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Data-centric machine learning in quantum information science.
Mach. Learn. Sci. Technol., December, 2022

Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security.
Sensors, 2022

Advanced architectures for high-performance quantum networking.
JOCN, 2022

Demonstration of machine-learning-enhanced Bayesian quantum state estimation.
CoRR, 2022


2021
Improving application performance with biased distributions of quantum states.
CoRR, 2021

Lessons Learned on the Interface Between Quantum and Conventional Networking.
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.
CoRR, 2020


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