Efficient quantum circuits for machine learning activation functions including constant T-depth ReLU

Efficient quantum circuits for machine learning activation functions including constant T-depth ReLU

In recent years, Quantum Machine Learning (QML) has increasingly captured the interest of researchers. Among the components in this domain, activation functions hold a fundamental and indispensable role. Our research focuses on the development of activation functions quantum circuits for integration...

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Bibliographic Details
Main Authors: Zi, Wei, Wang, Siyi, Kim, Hyunji, Sun, Xiaoming, Chattopadhyay, Anupam, Rebentrost, Patrick
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2025
Subjects:
Computer and Information Science
Activation functions
Fault-tolerant quantum computing
Online Access:https://hdl.handle.net/10356/182156

Internet

https://hdl.handle.net/10356/182156

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