Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation

Hybrid Quantum Neural Network Image Anti-Noise Classification Model Combined with Error Mitigation

In this study, we present an innovative approach to quantum image classification, specifically designed to mitigate the impact of noise interference. Our proposed method integrates key technologies within a hybrid variational quantum neural network architecture, aiming to enhance image classificatio...

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Bibliographic Details
Main Authors: Naihua Ji, Rongyi Bao, Zhao Chen, Yiming Yu, Hongyang Ma
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
quantum neural network
variational quantum algorithm
image classification
error mitigation
Online Access:https://www.mdpi.com/2076-3417/14/4/1392

Internet

https://www.mdpi.com/2076-3417/14/4/1392

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