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Quantum Distance-Based Classifier

The Quantum Distance-Based Classifier is a technique inspired by the classical k-Nearest Neighbors that leverages quantum properties to perform prediction.

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Accessibility Both
AccessibilityMode OnLine Access
AccessibilityMode Download
Availability On-Line
Basic rights Download
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Basic rights Making available to the public
CreationDate 2023-08-30
Creator Berti, Alessandro, [email protected], orcid.org/0000-0001-9144-9572
Documentation https://github.com/Brotherhood94/quantum_distance_based_classifier_package/blob/main/README.md
External Identifier https://doi.org/10.1007/978-3-031-05936-0_8
Field/Scope of use Non-commercial only
GitHub repository https://github.com/Brotherhood94/quantum_distance_based_classifier_package
Group Others
Owner Berti, Alessandro, [email protected], orcid.org/0000-0001-9144-9572
ProgrammingLanguage Python
PyPI page https://pypi.org/project/quantum-distance-based-classifier/
Sublicense rights No
Territory of use World Wide
Thematic Cluster Other
system:type Method
Management Info
Field Value
Author Vinciguerra Giorgio
Maintainer Alessandro Berti
Version 1
Last Updated 16 September 2023, 10:07 (CEST)
Created 16 September 2023, 10:07 (CEST)