Artículo
Multi-class classification based on quantum state discrimination
Giuntini, Roberto; Granda Arango, Andrés Camilo; Freytes, Hector; Holik, Federico Hernán
; Sergioli, Giuseppe
Fecha de publicación:
03/2023
Editorial:
Elsevier
Revista:
International Journal On Fuzzy Sets And Systems
ISSN:
0165-0114
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
We present a general framework for the problem of multi-class classification using classification functions that can be interpreted as fuzzy sets. We specialize these functions in the domain of Quantum-inspired classifiers, which are based on quantum state discrimination techniques. In particular, we use unsharp observables (Positive Operator-Valued Measures) that are determined by the training set of a given dataset to construct these classification functions. We show that such classifiers can be tested on near-term quantum computers once these classification functions are “distilled” (on a classical platform) from the quantum encoding of a training dataset. We compare these experimental results with their theoretical counterparts and we pose some questions for future research.
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Articulos de INST.DE FISICA LA PLATA
Citación
Giuntini, Roberto; Granda Arango, Andrés Camilo; Freytes, Hector; Holik, Federico Hernán; Sergioli, Giuseppe; Multi-class classification based on quantum state discrimination; Elsevier; International Journal On Fuzzy Sets And Systems; 467; 3-2023; 1-15
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