General Vapnik–Chervonenkis dimension bounds for quantum circuit learning

General Vapnik–Chervonenkis dimension bounds for quantum circuit learning

Quantifying the model complexity of quantum circuits provides a guide to avoid overfitting in quantum machine learning. Previously we established a Vapnik–Chervonenkis (VC) dimension upper bound for ‘encoding-first’ quantum circuits, where the input layer is the first layer of the circuit. In this w...

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Bibliographic Details
Main Authors: Chih-Chieh Chen, Masaru Sogabe, Kodai Shiba, Katsuyoshi Sakamoto, Tomah Sogabe
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Journal of Physics: Complexity
Subjects:
machine learning
quantum circuit
VC dimension
Online Access:https://doi.org/10.1088/2632-072X/ac9f9b

Internet

https://doi.org/10.1088/2632-072X/ac9f9b

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