An exponentially-growing family of universal quantum circuits

An exponentially-growing family of universal quantum circuits

Quantum machine learning has become an area of growing interest but has certain theoretical and hardware-specific limitations. Notably, the problem of vanishing gradients, or barren plateaus, renders the training impossible for circuits with high qubit counts, imposing a limit on the number of qubit...

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Bibliographic Details
Main Authors: Mo Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
quantum encoding
quantum circuits
quantum machine learning
quantum neural networks
machine learning model expressivity
quantum algorithms
Online Access:https://doi.org/10.1088/2632-2153/ace757

Internet

https://doi.org/10.1088/2632-2153/ace757

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