15 citations · 28 across the 6 of their papers we have counts for
6 papers
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…
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…
The role of entanglement for enhancing the efficiency of quantum kernels towards classification
Diksha Sharma, Parvinder Singh, Atul Kumar
Quantum kernels are considered as potential resources to illustrate benefits of quantum computing in machine learning. Considering the impact of hyperparameters on the performance…
Usefulness of Multiqubit W-type States in Quantum Information Processing Task
Parvinder Singh, Satyabrata Adhikari, Atul Kumar
We analyze the efficacy of multiqubit W-type states as resources for quantum information. For this, we identify and generalize four-qubit W-type states. Our results show that the s…