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ORCIDKathleen E. Hamilton
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2020 – today
- 2024
[i6]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:
Adiabatic Quantum Support Vector Machines. CoRR abs/2401.12485 (2024)- [i5]Md. Mazharul Islam, Shamiul Alam, Md Rahatul Islam Udoy, Md. Shafayat Hossain, Kathleen E. Hamilton, Ahmedullah Aziz:
Harnessing Ferro-Valleytricity in Penta-Layer Rhombohedral Graphene for Memory and Compute. CoRR abs/2408.01028 (2024) - 2023
- [c14]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: 369-370 - [c13]Daniel E. Molina, Kathleen E. Hamilton:
Noise Robustness of Data Re-Uploading Quantum Classifiers. QCE 2023: 395-396 - [c12]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:
Evaluating Robust Entanglement on a Trapped Ion Platform. QCE 2023: 703-708 - 2022
- [j9]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): 38:1-38:20 (2022) - [j8]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): 32003 (2022) - [j7]Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser:
Mode connectivity in the loss landscape of parameterized quantum circuits. Quantum Mach. Intell. 4(1): 1-14 (2022) - [c11]Andrea Delgado, Kathleen E. Hamilton:
Quantum Machine Learning Applications in High-Energy Physics. ICCAD 2022: 120:1-120:5 - [c10]Samudra Dasgupta, Kathleen E. Hamilton, Arnab Banerjee:
Characterizing the memory capacity of transmon qubit reservoirs. QCE 2022: 162-166 - 2021
- [c9]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: 1351 - [c8]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: 1-9 - [i4]Kathleen E. Hamilton, Emily Lynn, Raphael C. Pooser:
Mode connectivity in the loss landscape of parameterized quantum circuits. CoRR abs/2111.05311 (2021) - 2020
- [j6]Kathleen E. Hamilton, Raphael C. Pooser:
Error-mitigated data-driven circuit learning on noisy quantum hardware. Quantum Mach. Intell. 2(1): 1-15 (2020) - [j5]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): 6:1-6:31 (2020) - [c7]Md Mosharaf Hossain, Kathleen E. Hamilton, Alexis Palmer, Eduardo Blanco:
Predicting the Focus of Negation: Model and Error Analysis. ACL 2020: 8389-8401 - [c6]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: 680-695 - [c5]Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman:
Spike-based graph centrality measures. ICONS 2020: 26:1-26:8 - [c4]Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman:
Modeling epidemic spread with spike-based models. ICONS 2020: 28:1-28:5 - [c3]Kathleen E. Hamilton, Tyler Kharazi, Titus Morris, Alexander J. McCaskey, Ryan S. Bennink, Raphael C. Pooser:
Scalable quantum processor noise characterization. QCE 2020: 430-440
2010 – 2019
- 2019
- [i3]Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman:
Spike-based primitives for graph algorithms. CoRR abs/1903.10574 (2019) - [i2]Kathleen E. Hamilton, Raphael C. Pooser:
Error-mitigated data-driven circuit learning on noisy quantum hardware. CoRR abs/1911.13289 (2019) - 2018
- [j4]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): 40:1-40:13 (2018) - [c2]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: 1194-1203 - 2017
- [j3]Kathleen E. Hamilton, Leonid P. Pryadko:
Algebraic bounds for heterogeneous site percolation on directed and undirected graphs. Discret. Appl. Math. 222: 124-142 (2017) - [j2]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): 500 (2017) - [j1]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): 94 (2017) - [c1]Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Community detection with spiking neural networks for neuromorphic hardware. NCS 2017: 9:1-9:8 - [i1]Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Community detection with spiking neural networks for neuromorphic hardware. CoRR abs/1711.07361 (2017)
Coauthor Index
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