Kathleen E. Hamilton

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Special Session

Bipartite Graph

Top Venues

Quantum Mach. Intell.

Publications

Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis Humble, Georgia D. Tourassi
Adiabatic Quantum Support Vector Machines. CoRR (2024)
Daniel E. Molina, Kathleen E. Hamilton
Noise Robustness of Data Re-Uploading Quantum Classifiers. QCE (2023)
Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi
Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. QCE (2023)
Kathleen E. Hamilton, Titus Morris, Raphael Pooser, Kübra Yeter-Aydeniz, Luning Zhao, Nouamane Laanait, Harrison Cooley, Muhun Kang, George Barron, Sophia E. Economou, Akhil Francis, Alexander F. Kemper
Evaluating Robust Entanglement on a Trapped Ion Platform. QCE (2023)
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
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2 (2) (2022)
Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael C. Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim
Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Andrea Delgado, Kathleen E. Hamilton
Quantum Machine Learning Applications in High-Energy Physics. ICCAD (2022)
Samudra Dasgupta, Kathleen E. Hamilton, Arnab Banerjee
Characterizing the memory capacity of transmon qubit reservoirs. QCE (2022)
Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser
Mode connectivity in the loss landscape of parameterized quantum circuits. Quantum Mach. Intell. 4 (1) (2022)
Kathleen E. Hamilton, Emily Lynn, Tyler Kharazi, Titus Morris, Ryan S. Bennink, Raphael C. Pooser
Building scalable variational circuit training for machine learning tasks. DAC (2021)
Kathleen E. Hamilton, Emily Lynn, Vicente Leyton-Ortega, Swarnadeep Majumder, Raphael C. Pooser
Mode connectivity in the QCBM loss landscape: ICCAD Special Session Paper. ICCAD (2021)
Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser
Mode connectivity in the loss landscape of parameterized quantum circuits. CoRR (2021)
Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman
Modeling epidemic spread with spike-based models. ICONS (2020)
Kathleen E. Hamilton, Tyler Kharazi, Titus Morris, Alexander J. McCaskey, Ryan S. Bennink, Raphael C. Pooser
Scalable quantum processor noise characterization. QCE (2020)
Md Mosharaf Hossain, Kathleen E. Hamilton, Alexis Palmer, Eduardo Blanco
Predicting the Focus of Negation: Model and Error Analysis. ACL (2020)
Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble
Accelerating Scientific Computing in the Post-Moore's Era. ACM Trans. Parallel Comput. 7 (1) (2020)
Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman
Spike-based graph centrality measures. ICONS (2020)
Jordan Sanders, Meghana Gudala, Kathleen E. Hamilton, Nishtha Prasad, Jordan Godfrey-Stovall, Eduardo Blanco, Jane Elizabeth Hamilton, Kirk Roberts
Extracting Adherence Information from Electronic Health Records. COLING (2020)
Kathleen E. Hamilton, Raphael C. Pooser
Error-mitigated data-driven circuit learning on noisy quantum hardware. Quantum Mach. Intell. 2 (1) (2020)
Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman
Spike-based primitives for graph algorithms. CoRR (2019)
Kathleen E. Hamilton, Raphael C. Pooser
Error-mitigated data-driven circuit learning on noisy quantum hardware. CoRR (2019)
Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Neena Imam, Travis S. Humble
Neural Networks and Graph Algorithms with Next-Generation Processors. IPDPS Workshops (2018)
Kathleen E. Hamilton, Neena Imam, Travis S. Humble
Sparse Hardware Embedding of Spiking Neuron Systems for Community Detection. ACM J. Emerg. Technol. Comput. Syst. 14 (4) (2018)
Kathleen E. Hamilton, Neena Imam, Travis S. Humble
Community detection with spiking neural networks for neuromorphic hardware. NCS (2017)
Kathleen E. Hamilton, Neena Imam, Travis S. Humble
Community detection with spiking neural networks for neuromorphic hardware. CoRR (2017)
Kathleen E. Hamilton, Leonid P. Pryadko
Algebraic bounds for heterogeneous site percolation on directed and undirected graphs. Discret. Appl. Math. 222 (2017)
Jonathan Schrock, Alexander J. McCaskey, Kathleen E. Hamilton, Travis S. Humble, Neena Imam
Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization. Entropy 19 (9) (2017)
Kathleen E. Hamilton, Travis S. Humble
Identifying the minor set cover of dense connected bipartite graphs via random matching edge sets. Quantum Inf. Process. 16 (4) (2017)