Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing

no code implementations • 1 Oct 2023 • Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei, Xu Ma

The complex systems with edge computing require a huge amount of multi-feature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption.

Computational Efficiency Decision Making +2

A Unitary Weights Based One-Iteration Quantum Perceptron Algorithm for Non-Ideal Training Sets

no code implementations • 23 Sep 2023 • Wenjie Liu, Peipei Gao, Yuxiang Wang, Wenbin Yu, Maojun Zhang

In order to solve the problem of non-ideal training sets (i. e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on unitary weights is proposed, where the singular value decomposition of the total weight matrix from the training set is calculated to make the weight matrix to be unitary.