Quantum binary classifiers for noisy datasets

• Main Authors: GRIFFIN, Paul Robert, SCHETAKIS, Nikolaos, AGHAMALYAN, Davit
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Quantum; Binary Classifiers; Machine learning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9912
• Institution: Singapore Management University

This technology offer is a quantum machine learning algorithm applied to binary classification models for noisy datasets which are prevalent in financial and other datasets. By combining hybrid-neural networks, quantum parametric circuits, and data re-uploading we have improved the classification of...