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quant-ph2024
Entanglement distribution based on quantum walk in arbitrary quantum networks
Tianen Chen, Yun Shang, Chitong Chen +1
In large-scale quantum networks, quantum repeaters provide an efficient method to distribute entangled states among selected nodes for realizing long-distance and complicated quant…
cs.NE2024
Towards Biologically Plausible Computing: A Comprehensive Comparison
Changze Lv, Yufei Gu, Zhengkang Guo +16
Backpropagation is a cornerstone algorithm in training neural networks for supervised learning, which uses a gradient descent method to update network weights by minimizing the dis…
quant-ph2024★ 1 cited
Avoiding barren plateaus via Gaussian Mixture Model
Xiao Shi, Yun Shang
Variational quantum algorithms is one of the most representative algorithms in quantum computing, which has a wide range of applications in quantum machine learning, quantum simula…