most citedBinary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches

3 citations · 3 across the 2 of their papers we have counts for

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quant-ph2023★ 2 cited

Quantum Machine Learning for Credit Scoring

Nikolaos Schetakis, Davit Aghamalyan, Michael Boguslavsky +3

In this paper we explore the use of quantum machine learning (QML) applied to credit scoring for small and medium-sized enterprises (SME). A quantum/classical hybrid approach has b…

quant-ph2021★ 3 cited

Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches

N. Schetakis, D. Aghamalyan, M. Boguslavsky +1

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 Com…