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Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits
Recent work on hybrid quantum-classical machine learning systems has demonstrated success in utilizing parameterized quantum circuits (PQCs) to solve the challenging reinforcement learning (RL) tasks, with provable learning advantages over classical systems, e.g., deep neural networks. While existin...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857551/ https://www.ncbi.nlm.nih.gov/pubmed/36673234 http://dx.doi.org/10.3390/e25010093 |