New Single-Preparation Methods for Unsupervised Quantum Machine Learning Problems

New Single-Preparation Methods for Unsupervised Quantum Machine Learning Problems

The term “machine learning” especially refers to algorithms that derive mappings, i.e., input–output transforms, by using numerical data that provide information about considered transforms. These transforms appear in many problems related to classification/clusterin...

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Bibliographic Details
Main Authors: Yannick Deville, Alain Deville
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Blind Hamiltonian parameter estimation (BHPE)
blind quantum process tomography (BQPT)
blind quantum source separation (BQSS)
blind quantum state restoration (BQSR)
blind/unsupervised quantum machine learning
Heisenberg exchange coupling
Online Access:https://ieeexplore.ieee.org/document/9583935/

Internet

https://ieeexplore.ieee.org/document/9583935/

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