activity
20182022
most citedOptimizing Ansatz Design in QAOA for Max-cut

20 citations · 25 across the 8 of their papers we have counts for

collaborators

14 papers

quant-ph20224 cited

Error mitigated quantum circuit cutting

Ritajit Majumdar, Christopher J. Wood

We investigate an error mitigated tomographic approach to the quantum circuit cutting problem in the presence of gate and measurement noise. We explore two tomography specific erro…

quant-ph20211 cited

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…

quant-ph2021

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…

cs.LG2021

Prediction of the final rank of Players in PUBG with the optimal number of features

Diptakshi Sen, Rupam Kumar Roy, Ritajit Majumdar +2

PUBG is an online video game that has become very popular among the youths in recent years. Final rank, which indicates the performance of a player, is one of the most important fe…

quant-ph202120 cited

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…

quant-ph2020

Exploiting degeneracy to construct good ternary quantum error correcting code

Ritajit Majumdar, Susmita Sur-Kolay

Quantum error-correcting code for higher dimensional systems can, in general, be directly constructed from the codes for qubit systems. What remains unknown is whether there exist…