Kathleen E. Hamilton

According to our database, Kathleen E. Hamilton authored at least 25 papers between 2017 and 2024.

Collaborative distances:

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

2024

Adiabatic Quantum Support Vector Machines.

Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi

CoRR, 2024

2023

Noise Robustness of Data Re-Uploading Quantum Classifiers.

Daniel E. Molina, Kathleen E. Hamilton

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows.

Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Evaluating Robust Entanglement on a Trapped Ion Platform.

Kathleen E. Hamilton, Titus Morris, Raphael C. Pooser, Kübra Yeter-Aydeniz, Luning Zhao, Nouamane Laanait, Harrison Cooley, Muhun Kang, George Barron, Sophia E. Economou, Akhil Francis, Alexander F. Kemper

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

A review of non-cognitive applications for neuromorphic computing.

James B. Aimone, Prasanna Date, Gabriel A. Fonseca Guerra, Kathleen E. Hamilton, Kyle Henke, Bill Kay, Garrett T. Kenyon, Shruti R. Kulkarni, Susan M. Mniszewski, Maryam Parsa, Sumedh R. Risbud, Catherine D. Schuman, William Severa, J. Darby Smith

Neuromorph. Comput. Eng., June, 2022

Mode connectivity in the loss landscape of parameterized quantum circuits.

Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser

Quantum Mach. Intell., 2022

Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System.

Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael C. Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim

ACM J. Emerg. Technol. Comput. Syst., 2022

Characterizing the memory capacity of transmon qubit reservoirs.

Samudra Dasgupta, Kathleen E. Hamilton, Arnab Banerjee

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Quantum Machine Learning Applications in High-Energy Physics.

Andrea Delgado, Kathleen E. Hamilton

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Mode connectivity in the QCBM loss landscape: ICCAD Special Session Paper.

Kathleen E. Hamilton, Emily Lynn, Vicente Leyton-Ortega, Swarnadeep Majumder, Raphael C. Pooser

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Building scalable variational circuit training for machine learning tasks.

Kathleen E. Hamilton, Emily Lynn, Tyler Kharazi, Titus Morris, Ryan S. Bennink, Raphael C. Pooser

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Accelerating Scientific Computing in the Post-Moore's Era.

Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble

ACM Trans. Parallel Comput., 2020

Error-mitigated data-driven circuit learning on noisy quantum hardware.

Kathleen E. Hamilton, Raphael C. Pooser

Quantum Mach. Intell., 2020

Scalable quantum processor noise characterization.

Kathleen E. Hamilton, Tyler Kharazi, Titus Morris, Alexander J. McCaskey, Ryan S. Bennink, Raphael C. Pooser

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Spike-based graph centrality measures.

Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman

Proceedings of the International Conference on Neuromorphic Systems, 2020

Modeling epidemic spread with spike-based models.

Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman

Proceedings of the International Conference on Neuromorphic Systems, 2020

Extracting Adherence Information from Electronic Health Records.

Jordan Sanders, Meghana Gudala, Kathleen E. Hamilton, Nishtha Prasad, Jordan Godfrey-Stovall, Eduardo Blanco, Jane Elizabeth Hamilton, Kirk Roberts

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Predicting the Focus of Negation: Model and Error Analysis.

Md Mosharaf Hossain, Kathleen E. Hamilton, Alexis Palmer, Eduardo Blanco

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Spike-based primitives for graph algorithms.

Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman

CoRR, 2019

2018

Sparse Hardware Embedding of Spiking Neuron Systems for Community Detection.

Kathleen E. Hamilton, Neena Imam, Travis S. Humble

ACM J. Emerg. Technol. Comput. Syst., 2018

Neural Networks and Graph Algorithms with Next-Generation Processors.

Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Neena Imam, Travis S. Humble

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets.

Kathleen E. Hamilton, Travis S. Humble

Quantum Inf. Process., 2017

Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization.

Jonathan Schrock, Alexander J. McCaskey, Kathleen E. Hamilton, Travis S. Humble, Neena Imam

Entropy, 2017

Algebraic bounds for heterogeneous site percolation on directed and undirected graphs.

Kathleen E. Hamilton, Leonid P. Pryadko

Discret. Appl. Math., 2017

Community detection with spiking neural networks for neuromorphic hardware.

Kathleen E. Hamilton, Neena Imam, Travis S. Humble

Proceedings of the Neuromorphic Computing Symposium, 2017