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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Main Authors: | , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2025
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/182156 |
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Institution: | Nanyang Technological University |
Language: | English |