20 citations · 21 across the 5 of their papers we have counts for
5 papers
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…