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2020 – today
- 2024
[c2]Debasmita Bhoumik, Ritajit Majumdar, Dhiraj Madan, Susmita Sur-Kolay:
Machine Learning based Decoding of Heavy Hexagonal QECC for Asymmetric Quantum Noise. ISVLSI 2024: 246-251- [c1]Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik, Dhinakaran Vinayagamurthy, Shesha Raghunathan, Susmita Sur-Kolay:
Optimized QAOA ansatz circuit design for two-body Hamiltonian problems. VLSID 2024: 396-401 - [i6]Debasmita Bhoumik, Ritajit Majumdar, Susmita Sur-Kolay:
Resource-aware scheduling of multiple quantum circuits on a hardware device. CoRR abs/2407.08930 (2024) - 2022
- [j2]Utkarsh Azad
, Aleksandra Lipinska, Shilpa Mahato, Rijul Sachdeva, Debasmita Bhoumik, Ritajit Majumdar:
Surface code design for asymmetric error channels. IET Quantum Commun. 3(3): 174-183 (2022) - [i5]Debasmita Bhoumik, Ritajit Majumdar, Dhiraj Madan, Dhinakaran Vinayagamurthy, Shesha Raghunathan, Susmita Sur-Kolay:
Efficient Machine-Learning-based decoder for Heavy Hexagonal QECC. CoRR abs/2210.09730 (2022) - 2021
- [i4]Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik, Dhinakaran Vinayagamurthy, Shesha Raghunathan, Susmita Sur-Kolay:
Optimizing Ansatz Design in QAOA for Max-cut. CoRR abs/2106.02812 (2021) - [i3]Ritajit Majumdar, Debasmita Bhoumik, Dhiraj Madan, Dhinakaran Vinayagamurthy, Shesha Raghunathan, Susmita Sur-Kolay:
Depth Optimized Ansatz Circuit in QAOA for Max-Cut. CoRR abs/2110.04637 (2021) - 2020
- [j1]Sankar K. Pal, Debasmita Bhoumik, Debarati Bhunia Chakraborty:
Granulated deep learning and Z-numbers in motion detection and object recognition. Neural Comput. Appl. 32(21): 16533-16548 (2020) - [i2]Shovik Ganguly, Atrayee Chatterjee, Debasmita Bhoumik, Ritajit Majumdar:
An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set. CoRR abs/2005.03266 (2020) - [i1]Aditya Vikram Singhania, Saronyo Lal Mukherjee, Ritajit Majumdar, Akash Mehta, Priyanka Banerjee, Debasmita Bhoumik:
A machine learning based heuristic to predict the efficacy of online sale. CoRR abs/2005.04612 (2020)
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