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- Title
Quantum measurement classification with qudits.
- Authors
Useche, Diego H.; Giraldo-Carvajal, Andres; Zuluaga-Bucheli, Hernan M.; Jaramillo-Villegas, Jose A.; González, Fabio A.
- Abstract
This paper presents a hybrid classical-quantum program for density estimation and supervised classification. The program is implemented as a quantum circuit in a high-dimensional quantum computer simulator. We show that the proposed quantum protocols allow to estimate probability density functions and to make predictions in a supervised learning manner. This model can be generalized to find expected values of density matrices in high-dimensional quantum computers. Experiments on various data sets are presented. Results show that the proposed method is a viable strategy to implement supervised classification and density estimation in a high-dimensional quantum computer.
- Subjects
QUANTUM measurement; DENSITY matrices; SUPERVISED learning; PROBABILITY density function; QUANTUM computers; QUANTUM computing
- Publication
Quantum Information Processing, 2022, Vol 21, Issue 1, p1
- ISSN
1570-0755
- Publication type
Article
- DOI
10.1007/s11128-021-03363-y