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Quantum powered credit risk assessment: a novel approach using Hybrid Quantum-Classical Deep Neural Network for Row-Type Dependent Predictive Analysis

Crossref DOI link: https://doi.org/10.1140/epjqt/s40507-025-00323-8

Published Online: 2025-06-17

Published Print: 2025-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Rath, Minati

Date, Hema
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Text and Data Mining valid from 2025-06-17

Version of Record valid from 2025-06-17
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Article History

Received: 29 October 2024

Accepted: 3 February 2025

First Online: 17 June 2025

Declarations

:

: Not applicable. This study did not involve any human or animal subjects requiring ethical approval.

: Not applicable. This manuscript does not contain any individual person’s data in any form.

: The authors declare no competing interests.

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