11 citations · 20 across the 5 of their papers we have counts for
5 papers
Confidence uncertainty: position and momentum can be jointly determined with a guaranteed probability
Jia-Yi Lin, Xin-Yu Li, Wei Wang +1
Standard-deviation and entropic formulations of uncertainty principle capture the spread of the probability distribution but say little about the probability itself contained in a…
Implementing arbitrary quantum operations via quantum walks on a cycle graph
Jia-Yi Lin, Xin-Yu Li, Yu-Hao Shao +2
The quantum circuit model is the most commonly used model for implementing quantum computers and quantum neural networks whose essential tasks are to realize certain unitary operat…
State Classification via a Random-Walk-Based Quantum Neural Network
Lu-Ji Wang, Jia-Yi Lin, Shengjun Wu
In quantum information technology, crucial information is regularly encoded in different quantum states. To extract information, the identification of one state from the others is…
Implementing arbitrary quantum operations via quantum walks on a cycle graph
Jia-Yi Lin, Xin-Yu Li, Yu-Hao Shao +2
The quantum circuit model is the most commonly used model for implementing quantum computers and quantum neural networks whose essential tasks are to realize certain unitary operat…
Implementation of quantum stochastic walks for function approximation, two-dimensional data classification, and sequence classification
Lu-Ji Wang, Jia-Yi Lin, Shengjun Wu
We study a quantum stochastic neural network (QSNN) based on quantum stochastic walks on a graph, and use gradient descent to update the network parameters. We apply a toy model of…