Debanjan Bhowmik

According to our database, Debanjan Bhowmik authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Improved Performance of Multi-Angle Quantum Approximate Optimization Algorithm (ma-QAOA) Compared to QAOA On Simulation and Experimental Hardware Platforms.

Vandit Srivastava, Rohith P, Sanyam Singhal, Debanjan Bhowmik

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

Variational Quantum Factorization (VQF) using Different Variations of Quantum Approximate Optimization Algorithm (QAOA).

Janhavi Hatwar, Nakul Aggarwal, Debanjan Bhowmik

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024

Spin-coated ALPO-RRAM with Switching Speed < 50 ns and Nonlinearity 0.5.

Nitupon Dihingia, Aniket Sadashiva, Debanjan Bhowmik, Sandip Mondal

Proceedings of the Device Research Conference, 2024

2023

Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning.

Ram Singh Yadav, Aniket Sadashiva, Amod Holla, Pranaba Kishor Muduli, Debanjan Bhowmik

Neuromorph. Comput. Eng., September, 2023

2022

Fast-QTrain: an algorithm for fast training of variational classifiers.

Siddharth Dangwal, Ritvik Sharma, Debanjan Bhowmik

Quantum Inf. Process., 2022

On-chip learning of a domain-wall-synapse-crossbar-array-based convolutional neural network.

Varun Bhavin Desai, Divya Kaushik, Janak Sharda, Debanjan Bhowmik

Neuromorph. Comput. Eng., 2022

2021

Kuramoto-model-based data classification using the synchronization dynamics of uniform-mode spin Hall nano-oscillators.

Neha Garg, Sri Vasudha Hemadri Bhotla, Pranaba Kishor Muduli, Debanjan Bhowmik

Neuromorph. Comput. Eng., 2021

A Crossbar Array of Analog-Digital-Hybrid Volatile Memory Synapse Cells for Energy-Efficient On-Chip Learning.

Janak Sharda, Ritvik Sharma, Debanjan Bhowmik

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A Quantum Activation Function for Neural Networks: Proposal and Implementation.

Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Supervised learning with a quantum classifier using multi-level systems.

Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik

Quantum Inf. Process., 2020

Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation.

Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik

CoRR, 2020

Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network.

Shikhar Tuli, Debanjan Bhowmik

Proceedings of the International Conference on Neuromorphic Systems, 2020

Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning.

Janak Sharda, Nilabjo Dey, Ankesh Jain, Debanjan Bhowmik

Proceedings of the International Conference on Neuromorphic Systems, 2020

2019

Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network.

Divya Kaushik, Utkarsh Singh, Upasana Sahu, Indu Sreedevi, Debanjan Bhowmik

CoRR, 2019

On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network.

Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

On-chip learning for domain wall synapse based Fully Connected Neural Network.

Apoorv Dankar, Anand Verma, Utkarsh Saxena, Divya Kaushik, Shouri Chatterjee, Debanjan Bhowmik

CoRR, 2018