2 papers
quant-ph2024
Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin +4
We introduces the Quantum-Train(QT) framework, a novel approach that integrates quantum computing with classical machine learning algorithms to address significant challenges in da…
quant-ph2024
Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy
Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung +1
This work investigates the oracle separation between the physically motivated complexity class of noisy quantum circuits, inspired by definitions such as those presented by Chen, C…