Work

A Scoping Survey of Quantum Machine Learning and Deep Learning for Real-World Applications

Year: 2025

Type: conference-paper

Abstract: Many prevalent issues in today’s society, such as fake news detection, can be efficiently addressed using artificial intelligence and machine learning techniques. The rapid dissemination of fake news through social media makes it challenging to verify the validity of information. QML and QDL represent promising frontiers for building models to address these challenges, with the prospect of achieving quantum advantage driving advancements in the field. This study examines and compares literature on QML and QDL models, including QSVM, VQE, QNN, QCNN, and RQNN, using the MNIST dataset. The effectiveness and scope of application of these models for fake news detection and other real-world applications are analyzed.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2025.04.297

Authors: Aishwarya C, Venkatesan M, Prabhavathy P

Institutions: National Institute of Technology, Puducherry, Vellore Institute of Technology University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410253154

FWCI: 9.837

Cites: 24

Cited by: 10

Related to: 10