20 citations · 39 across the 12 of their papers we have counts for
12 papers
Brain Tumor Detection through Thermal Imaging and MobileNET
Roham Maiti, Debasmita Bhoumik
Brain plays a crucial role in regulating body functions and cognitive processes, with brain tumors posing significant risks to human health. Precise and prompt detection is a key f…
Resource-aware scheduling of multiple quantum circuits on a hardware device
Debasmita Bhoumik, Ritajit Majumdar, Susmita Sur-Kolay
Recent quantum technologies and quantum error-correcting codes emphasize the requirement for arranging interacting qubits in a nearest-neighbor (NN) configuration while mapping a q…
Synergy of machine learning with quantum computing and communication
Debasmita Bhoumik, Susmita Sur-Kolay, Latesh Kumar K. J. +1
Machine learning in quantum computing and communication provides intensive opportunities for revolutionizing the field of Physics, Mathematics, and Computer Science. There exists a…
Distributed Scheduling of Quantum Circuits with Noise and Time Optimization
Debasmita Bhoumik, Ritajit Majumdar, Amit Saha +1
Quantum computers are currently noisy, particularly without error correction and fault tolerance. Methods like error suppression and mitigation are widely used to improve performan…
Efficient Syndrome Decoder for Heavy Hexagonal QECC via Machine Learning
Debasmita Bhoumik, Ritajit Majumdar, Dhiraj Madan +3
Error syndromes for heavy hexagonal code and other topological codes such as surface code have typically been decoded by using Minimum Weight Perfect Matching (MWPM) based methods.…
Thermal relaxation error on QKD: Effect and A Probable Bypass
Munsi Afif Aziz, Bishwajit Prasad Gond, Srijita Nandi +3
Quantum cryptography was proposed as a counter to the capacity of quantum computers to break classical cryptosystems. A broad subclass of quantum cryptography, called quantum key d…
Surface Code Design for Asymmetric Error Channels
Utkarsh Azad, Aleksandra Lipińska, Shilpa Mahato +3
Surface codes are quantum error correcting codes normally defined on 2D arrays of qubits. In this paper, we introduce a surface code design based on the fact that the severity of b…
Efficient Decoding of Surface Code Syndromes for Error Correction in Quantum Computing
Debasmita Bhoumik, Pinaki Sen, Ritajit Majumdar +3
Errors in surface code have typically been decoded by Minimum Weight Perfect Matching (MWPM) based method. Recently, neural-network-based Machine Learning (ML) techniques have been…
Depth Optimized Ansatz Circuit in QAOA for Max-Cut
Ritajit Majumdar, Debasmita Bhoumik, Dhiraj Madan +3
While a Quantum Approximate Optimization Algorithm (QAOA) is intended to provide a quantum advantage in finding approximate solutions to combinatorial optimization problems, noise…
Optimizing Ansatz Design in QAOA for Max-cut
Ritajit Majumdar, Dhiraj Madan, Debasmita Bhoumik +3
Quantum Approximate Optimization Algorithm (QAOA) is studied primarily to find approximate solutions to combinatorial optimization problems. For a graph with vertices and e…
A machine learning based heuristic to predict the efficacy of online sale
Aditya Vikram Singhania, Saronyo Lal Mukherjee, Ritajit Majumdar +3
It is difficult to decide upon the efficacy of an online sale simply from the discount offered on commodities. Different features have different influence on the price of a product…
An Empirical Study of Incremental Learning in Neural Network with Noisy Training Set
Shovik Ganguly, Atrayee Chatterjee, Debasmita Bhoumik +1
The notion of incremental learning is to train an ANN algorithm in stages, as and when newer training data arrives. Incremental learning is becoming widespread in recent times with…