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quant-ph2023
Detecting quantum speedup of random walks with machine learning
Hanna Linn, Yu Zheng, Anton Frisk Kockum
We explore the use of machine-learning techniques to detect quantum speedup in random walks on graphs. Specifically, we investigate the performance of three different neural-networ…
quant-ph2020
Gaussian conversion protocols for cubic phase state generation
Yu Zheng, Oliver Hahn, Pascal Stadler +4
Universal quantum computing with continuous variables requires non-Gaussian resources, in addition to a Gaussian set of operations. A known resource enabling universal quantum comp…
quant-ph2018
Quantum Circuit Design for Training Perceptron Models
Yu Zheng, Sicong Lu, Re-Bing Wu
Perceptron model is a fundamental linear classifier in machine learning and also the building block of artificial neural networks. Recently, Wiebe et al. (arXiv:1602.04799) propose…