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Article History

Received: 12 November 2023

Accepted: 15 February 2024

First Online: 26 February 2024

Code availability

: The source code for both our classical and quantum models is publicly available on GitHub at the following repository: (ExternalRef removed). The implementation is written in Python and is based on the TensorFlow-Keras framework [CitationRef removed, CitationRef removed] for the classical deep learning models studied in Sects. InternalRef removed and InternalRef removed, and on the PennyLane framework [CitationRef removed] for the quantum models studied in Sect. InternalRef removed. We have also included the Mathematica files used to generate the datasets based on the generating function method introduced in Sect. InternalRef removed, along with our datasets. One can easily reproduce our results using their own choices of datasets with great generalizability; please refer to the documentation for further instructions.