Scopus Indexed Publications

Paper Details


Title
Quantum machine learning approach for classification: case studies and implications
Author
Nadia Ahmed Sharna,
Email
Abstract


With the advent of quantum computing, which offers exponential computational speedup compared to classical computers, and the constantly expanding field of machine learning, which focuses on extracting patterns and insights from data. The paper comprises two comprehensive case studies: Network Traffic Analysis and Earthquake Magnitude Classification. We were able to perform an overview of previous studies in this field and acknowledge the research gap while building a Quantum Machine Learning model that provides accuracy over 60% while using 4 Qubits and keeping the loss around 20%.

Keywords
Journal or Conference Name
Proceedings of SPIE - The International Society for Optical Engineering
Publication Year
2024
Indexing
scopus