2 papers
quant-ph2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang, Liu Liu, Min-Hsiu Hsieh +1
Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years. However, quantum circuits with random structures have poo…
quant-ph2024
TeD-Q: a tensor network enhanced distributed hybrid quantum machine learning framework
Yaocheng Chen, Chung-Yun Kuo, Yuxuan Du +2
TeD-Q is an open-source software framework for quantum machine learning, variational quantum algorithm (VQA), and simulation of quantum computing. It seamlessly integrates classica…