Laziness, barren plateau, and noises in machine learning

We define laziness to describe a large suppression of variational parameter updates for neural networks, classical or quantum. In the quantum case, the suppression is exponential in the number of qubits for randomized variational quantum circuits. We discuss the difference between laziness and barre...

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Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Junyu Liu, Zexi Lin, Liang Jiang
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Subjects:	quantum machine learning machine learning theory quantum algorithms
Online Access:	https://doi.org/10.1088/2632-2153/ad35a3