5 papers
An efficient quantum algorithm for independent component analysis
Xiao-Fan Xu, Cheng Xue, Zhao-Yun Chen +2
Independent component analysis (ICA) is a fundamental data processing technique to decompose the captured signals into as independent as possible components. Computing the contrast…
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Karen Leung, Sushant Veer, Edward Schmerling +1
Evaluating the safety of an autonomous vehicle (AV) depends on the behavior of surrounding agents which can be heavily influenced by factors such as environmental context and infor…
Entanglement Area Law for Shallow and Deep Quantum Neural Network States
Zhih-Ahn Jia, Lu Wei, Yu-Chun Wu +2
A study of the artificial neural network representation of quantum many-body states is presented. The locality and entanglement properties of states for shallow and deep quantum ne…
Building quantum neural networks based on swap test
Jian Zhao, Yuan-Hang Zhang, Chang-Peng Shao +3
Artificial neural network, consisting of many neurons in different layers, is an important method to simulate humain brain. Usually, one neuron has two operations: one is linear, t…
Quantum Neural Network States: A Brief Review of Methods and Applications
Zhih-Ahn Jia, Biao Yi, Rui Zhai +3
One of the main challenges of quantum many-body physics is that the dimensionality of the Hilbert space grows exponentially with the system size, which makes it extremely difficult…