Prasanna Date

According to our database, Prasanna Date authored at least 41 papers between 2016 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

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials.

Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar

Int. J. High Perform. Comput. Appl., July, 2023

Adiabatic Quantum Support Vector Machines.

Dong Jun Woun, Prasanna Date

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

A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices.

Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang

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

Arithmetic Primitives for Efficient Neuromorphic Computing.

Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

An FPGA-Based Neuromorphic Processor with All-to-All Connectivity.

Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.

Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing.

Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation.

Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman

Proceedings of the International Conference on Machine Learning and Applications, 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

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron.

Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter

CoRR, 2022

A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification.

Davis Arthur, Prasanna Date

CoRR, 2022

Neuromorphic Computing for Scientific Applications.

Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

Hybrid Quantum-Classical Neural Networks.

Davis Arthur, Prasanna Date

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

Virtual Neuron: A Neuromorphic Approach for Encoding Numbers.

Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Neuromorphic Computing is Turing-Complete.

Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Semi-Supervised Graph Structure Learning on Neuromorphic Computers.

Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

Balanced k-means clustering on an adiabatic quantum computer.

Davis Arthur, Prasanna Date

Quantum Inf. Process., 2021

Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms.

Jie Chen, Prasanna Date, Nicholas Chancellor, Mohammed Atiquzzaman, Cormac J. Sreenan

CoRR, 2021

Discriminating Quantum States with Quantum Machine Learning.

David A. Quiroga, Prasanna Date, Raphael C. Pooser

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers.

Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Neuromorphic Computing for Autonomous Racing.

Robert M. Patton, Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Nicholas Quentin Haas, Christopher G. Stahl, Spencer Paulissen, Prasanna Date, Thomas E. Potok, Shay Sneider

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow.

Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Computational Complexity of Neuromorphic Algorithms.

Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Quantum Discriminator for Binary Classification.

Prasanna Date

CoRR, 2020

Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem.

Lauren Pusey-Nazzaro, Prasanna Date

CoRR, 2020

QUBO Formulations for Training Machine Learning Models.

Prasanna Date, Davis Arthur, Lauren Pusey-Nazzaro

CoRR, 2020

Adiabatic Quantum Linear Regression.

Prasanna Date, Thomas E. Potok

CoRR, 2020

Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees.

Bill Kay, Prasanna Date, Catherine D. Schuman

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems.

Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.

Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Training Deep Neural Networks with Constrained Learning Parameters.

Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail

Proceedings of the International Conference on Rebooting Computing, 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

2019

Combinatorial neural network training algorithm for neuromorphic computing.

Prasanna Date

PhD thesis, 2019

Efficiently embedding QUBO problems on adiabatic quantum computers.

Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok

Quantum Inf. Process., 2019

2018

Efficient Classification of Supercomputer Failures Using Neuromorphic Computing.

Prasanna Date, Christopher D. Carothers, James A. Hendler, Malik Magdon-Ismail

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2016

Design Index for Deep Neural Networks.

Prasanna Date, James A. Hendler, Christopher D. Carothers

Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016