Brian T. Kirby

According to our database, Brian T. Kirby authored at least 19 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

2023

Deep learning for enhanced free-space optical communications.

Manon P. Bart, Nicholas J. Savino, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw, Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Hwang Lee, Ryan T. Glasser

Mach. Learn. Sci. Technol., December, 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

Computational Simulation Framework for Tactical Quantum Network Applications.

Dashiell L. P. Vitullo, Trevor Cook, Daniel E. Jones, Lisa M. Scott, Brian T. Kirby

Proceedings of the IEEE Military Communications Conference, 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

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

Telecom-band Hyperentangled Photon Pairs from a Fiber-based Source.

Changjia Chen, Calvin Xu, Arash Riazi, Eric Y. Zhu, Alexander Greenwood, Alexey V. Gladyshev, Peter G. Kazansky, Brian T. Kirby, Li Qian

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021

Machine learning pipeline for quantum state estimation with incomplete measurements.

Onur Danaci, Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser

Mach. Learn. Sci. Technol., 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

2020

Machine learning assisted quantum state estimation.

Sanjaya Lohani, Brian T. Kirby, Michael Brodsky, Onur Danaci, Ryan T. Glasser

Mach. Learn. Sci. Technol., 2020

On the experimental feasibility of quantum state reconstruction via machine learning.

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

CoRR, 2020

2018

Polarization Dependent Loss in Optical Fibers - Does it Help or Ruin Photon Entanglement Distribution?

Daniel E. Jones, Brian T. Kirby, Michael Brodsky

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

2011

Blinky blocks: a physical ensemble programming platform.

Brian T. Kirby, Michael P. Ashley-Rollman, Seth Copen Goldstein

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2009

Beyond Audio and Video: Using Claytronics to Enable Pario.

Seth Copen Goldstein, Todd C. Mowry, Jason Campbell, Michael P. Ashley-Rollman, Michael DeRosa, Stanislav Funiak, James F. Hoburg, Mustafa Emre Karagozler, Brian T. Kirby, Peter Lee, Padmanabhan Pillai, James Robert Reid, Daniel D. Stancil, Michael Philetus Weller

AI Mag., 2009

Design of prismatic cube modules for convex corner traversal in 3D.

Michael Philetus Weller, Brian T. Kirby, H. Benjamin Brown, Mark D. Gross, Seth Copen Goldstein

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2007

A modular robotic system using magnetic force effectors.

Brian T. Kirby, Burak Aksak, Jason Campbell, James F. Hoburg, Todd C. Mowry, Padmanabhan Pillai, Seth Copen Goldstein

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2005

Claytronics: highly scalable communications, sensing, and actuation networks.

Burak Aksak, Preethi Srinivas Bhat, Jason Campbell, Michael DeRosa, Stanislav Funiak, Phillip B. Gibbons, Seth Copen Goldstein, Carlos Guestrin, Ashish Gupta, Casey Helfrich, James F. Hoburg, Brian T. Kirby, James Kuffner, Peter Lee, Todd C. Mowry, Padmanabhan Pillai, Ram Ravichandran, Benjamin D. Rister, Srinivasan Seshan, Metin Sitti, Haifeng Yu

Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, 2005

Catoms: Moving Robots Without Moving Parts.

Brian T. Kirby, Jason Campbell, Burak Aksak, Padmanabhan Pillai, James F. Hoburg, Todd C. Mowry, Seth Copen Goldstein

Proceedings of the Proceedings, 2005