20 citations · 26 across the 6 of their papers we have counts for
6 papers
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.…
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…
Continuous monitoring can improve single-photon probability
Shesha Raghunathan, Todd Brun
An engineering technique using continuous quantum measurement together with a change detection algorithm is proposed to improve the probability of single photon emission for a quan…
Gaussian approximation and single-spin measurement in OSCAR MRFM with spin noise
Shesha Raghunathan, Todd A. Brun, Hsi-Sheng Goan
A promising technique for measuring single electron spins is magnetic resonance force microscopy (MRFM), in which a microcantilever with a permanent magnetic tip is resonantly driv…
Continuous monitoring can improve indistinguishability of a single-photon source
Shesha Raghunathan, Todd Brun
A new engineering technique using continuous quantum measurement in conjunction with feed-forward is proposed to improve indistinguishability of a single-photon source. The techniq…