most citedQuantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy

5 citations · 6 across the 6 of their papers we have counts for

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quant-ph2025★ 1 cited

Continuous-Variable Quantum Encoding Techniques: A Comparative Study of Embedding Techniques and Their Impact on Machine Learning Performance

Minati Rath, Hema Date

This study explores the intersection of continuous-variable quantum computing (CVQC) and classical machine learning, focusing on CVQC data encoding techniques, including Displaceme…

quant-ph2023★ 5 cited

Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy

Minati Rath, Hema Date

This research explores the integration of quantum data embedding techniques into classical machine learning (ML) algorithms, aiming to assess the performance enhancements and compu…

quant-ph2023

Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing

Minati Rath, Hema Date

Machine Learning (ML) models are trained using historical data to classify new, unseen data. However, traditional computing resources often struggle to handle the immense amount of…