Quantum machine learning for credit scoring

• المؤلفون الرئيسيون: SCHETAKIS, Nikolaos, AGHAMALYAN, Davit, BOGUSLAVSKY, Micheael, REES, Agnieszka, RAKOTOMALALA, Marc, GRIFFIN, Paul Robert
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: Quantum machine learning; Quantum classifiers; Quantum credit scoring; Quantum algorithms; Databases and Information Systems; Finance and Financial Management; Theory and Algorithms
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/7186; https://ink.library.smu.edu.sg/context/sis_research/article/8189/viewcontent/mathematics_12_01391.pdf

This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring for small- and medium-sized enterprises (SMEs). We introduce a hybrid quantum–classical model, focusing on the synergy between quantum and classical rather than comparing the perfo...