The Robustness Verification of Linear Sound Quantum Classifiers

Su Bonan
3/9/2023
quant-phcs.AI

No confident code implementation found for this paper. 2 possible matches can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{bonan2023robustness,
  title  = {The Robustness Verification of Linear Sound Quantum Classifiers},
  author = {Su Bonan},
  year   = {2023},
  eprint = {2303.04982},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.04982v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2303.04982.svg)](https://codeofpaper.com/paper/2303.04982)

Discussion