Samuel Yen-Chi Chen
4 papers in the PaperMetrix corpus
Papers by this author
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Federated Quantum Machine Learning
2021 · Entropy
Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen …
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Quantum Architecture Search via Continual Reinforcement Learning
2021 · arXiv (Cornell University)
Quantum computing has promised significant improvement in solving difficult computational tasks over classical computers. Designing quantum circuits for practical use, however, is not a trivial objective and requires expert-level knowledge. To aid this endeavor, this …
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Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
2024 · arXiv (Cornell University)
Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning. It seeks to revolutionize machine learning by harnessing the unique capabilities of quantum mechanics and employs machine …
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Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
2025 · arXiv (Cornell University)
The rapid advancements in quantum computing (QC) and machine learning (ML) have led to the emergence of quantum machine learning (QML), which integrates the strengths of both fields. Among QML approaches, variational quantum circuits (VQCs), …