← all papers · overview

The Robustness Verification of Linear Sound Quantum Classifiers

Su Bonan·2023

Abstract

I present a quick and sound method for the robustness verification of a sort of quantum classifiers who are Linear Sound. Since quantum machine learning has been put into practice in relevant fields and Linear Sound Property, LSP is a pervasive property, the method could be universally applied. I implemented my method with a Quantum Convolutional Neural Network, QCNN using MindQuantum, Huawei and successfully verified its robustness when classifying MNIST dataset.

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).