Prasanna Date

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Catherine SchumanUniversity of TennesseeVerified email at utk.edu
Shruti R. KulkarniOak Ridge National LaboratoryVerified email at ornl.gov
Thomas E. PotokComputational Data Analytics Group Leader, Oak Ridge National LaboratoryVerified email at ornl.gov
Maryam ParsaAssistant Professor, Electrical and Computer Engineering, George Mason UniversityVerified email at gmu.edu
Parker MitchellMicrosoftVerified email at ieee.org
Kathleen HamiltonResearch Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Aaron R. YoungOak Ridge National LaboratoryVerified email at ornl.gov
Jeffrey S. VetterOak Ridge National LaboratoryVerified email at acm.org
Jim HendlerProfessor of computer science, RPIVerified email at cs.rpi.edu
Christopher D. CarothersProfessor of Computer Science, Rensselaer Polytechnic InstituteVerified email at cs.rpi.edu
Shay SnyderGraduate Research Assistant, George Mason UniversityVerified email at gmu.edu
William SeveraSandia National LaboratoriesVerified email at sandia.gov
Raphael PooserQC82Verified email at qc82.tech
James B AimoneSandia National LaboratoriesVerified email at sandia.gov
Sofia VallecorsaCERNVerified email at cern.ch
Andrea DelgadoOak Ridge National LaboratoryVerified email at ornl.gov
Narasinga Rao MiniskarOak Ridge National LaboratoryVerified email at ornl.gov
Seung-Hwan LimOak Ridge National LaboratoryVerified email at ornl.gov
Guojing Congsenior research scientist, ORNLVerified email at ornl.gov
Mark ColettiStaff Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov

Prasanna Date

Research Scientist at Oak Ridge National Laboratory

Verified email at ornl.gov - Homepage

Artificial Intelligence Machine Learning Deep Learning Quantum Computing Neuromorphic Computing


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Opportunities for neuromorphic computing algorithms and applications CD Schuman, SR Kulkarni, M Parsa, JP Mitchell, P Date, B Kay Nature Computational Science 2 (1), 10-19, 2022	769	2022
Qubo formulations for training machine learning models P Date, D Arthur, L Pusey-Nazzaro Scientific Reports 11, 2021	152	2021
Efficiently Embedding QUBO Problems on Adiabatic Quantum Computers P Date, R Patton, C Schuman, T Potok Quantum Information Processing 18 (4), 117, 2019	106	2019
Adiabatic quantum linear regression P Date, T Potok Scientific reports 11 (1), 1-10, 2021	89	2021
Balanced k-means clustering on an adiabatic quantum computer D Arthur, P Date Quantum Information Processing 20 (9), 1-30, 2021	70	2021
Hybrid quantum-classical neural networks D Arthur, P Date 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022	61*	2022
A review of non-cognitive applications for neuromorphic computing JB Aimone, P Date, GA Fonseca-Guerra, KE Hamilton, K Henke, B Kay, ... Neuromorphic Computing and Engineering 2 (3), 032003, 2022	58	2022
Neuromorphic graph algorithms: Extracting longest shortest paths and minimum spanning trees B Kay, P Date, C Schuman Proceedings of the 2020 Annual Neuro-inspired Computational Elements …, 2020	39	2020
Quantum Computing for Data Analysis in High-Energy Physics A Delgado, KE Hamilton, P Date, JR Vlimant, D Magano, Y Omar, ... arXiv preprint arXiv:2203.08805, 2022	31	2022
Resilience and robustness of spiking neural networks for neuromorphic systems CD Schuman, JP Mitchell, JT Johnston, M Parsa, B Kay, P Date, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-10, 2020	29	2020
A Classical-Quantum Hybrid Approach for Unsupervised Probabilistic Machine Learning P Date, C Schuman, R Patton, T Potok Future of Information and Communication Conference, 98-117, 2019	27	2019
Neuromorphic computing for autonomous racing R Patton, C Schuman, S Kulkarni, M Parsa, JP Mitchell, NQ Haas, C Stahl, ... International conference on neuromorphic systems 2021, 1-5, 2021	26	2021
Neuromorphic computing is Turing-complete P Date, T Potok, C Schuman, B Kay Proceedings of the International Conference on Neuromorphic Systems 2022, 1-10, 2022	25*	2022
Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem L Pusey-Nazzaro, P Date arXiv preprint arXiv:2008.07456, 2020	23	2020
Modeling Epidemic Spread with Spike-based Models K Hamilton, P Date, B Kay, C Schuman D International Conference on Neuromorphic Systems (ICONS) 2020, 1-5, 2020	23	2020
Efficient Classification of Supercomputer Failures using Neuromorphic Computing P Date, CD Carothers, JA Hendler, M Magdon-Ismail 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 242-249, 2018	22	2018
Spike-Based Graph Centrality Measures K Hamilton, T Mintz, P Date, CD Schuman International Conference on Neuromorphic Systems 2020, 1-8, 2020	20	2020
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research TS Humble, A Delgado, R Pooser, C Seck, R Bennink, V Leyton-Ortega, ... arXiv preprint arXiv:2203.07091, 2022	19	2022
Design Index for Deep Neural Networks P Date, JA Hendler, CD Carothers Procedia Computer Science 88, 131-138, 2016	18	2016
Development of Fuzzy PROMETHEE Algorithm for the Evaluation of Indian World-Class Manufacturing Organisations AK Digalwar, P Date International Journal of Services and Operations Management 24 (3), 308-330, 2016	17	2016

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