Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets

• Main Authors: Schetakis, N., Aghamalyan, D., GRIFFIN, Paul Robert, Boguslavsky, M.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/7214; https://ink.library.smu.edu.sg/context/sis_research/article/8217/viewcontent/s41598_022_14876_6_pvoa_CC_BY.pdf
• Institution: Singapore Management University

One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning. In this paper, we apply Quantum Machine Learning (QML) frameworks to improve bina...