17 citations · 80 across the 21 of their papers we have counts for
21 papers
Quantum neural networks facilitating quantum state classification
Diksha Sharma, Vivek Balasaheb Sabale, Thirumalai M. +1
The classification of quantum states into distinct classes poses a significant challenge. In this study, we address this problem using quantum neural networks in combination with a…
Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
Diksha Sharma, Vivek Balasaheb Sabale, Parvinder Singh +1
In the present study, we use cross-domain classification using quantum machine learning for quantum advantages to readdress the entanglement versus separability paradigm. The inher…
A Graph-Theoretical Framework to Analyse Zero Discord Quantum States
Anoopa Joshi, Parvinder Singh, Atul Kumar
This article comprehensively explores matrices and their prerequisites for achieving positive semidefiniteness. The study delves into a series of theorems concerning pure quantum s…
Separability of Graph Laplacian Quantum States: Utilizing Unitary Operators, Neighbourhood Sets and Equivalence Relation
Anoopa Joshi, Parvinder Singh, Atul Kumar
This article delves into an analysis of the intrinsic entanglement and separability feature in quantum states as depicted by graph Laplacian. We show that the presence or absence o…
Facets of correlated non-Markovian channels
Vivek Balasaheb Sabale, Nihar Ranjan Dash, Atul Kumar +1
We investigate the domain of correlated non-Markovian channels, exploring the potential memory arising from the correlated action of channels and the inherent memory due to non-Mar…
Quantum-inspired attribute selection algorithm: A Fidelity-based Quantum Decision Tree
Diksha Sharma, Parvinder Singh, Atul Kumar
A classical decision tree is completely based on splitting measures, which utilize the occurrence of random events in correspondence to its class labels in order to optimally segre…