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MiS Preprint Repository

We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV (www.arxiv.org) that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint
20/2024

Entanglement Verification with Deep Semi-supervised Machine Learning

Lifeng Zhang, Zhi-Hua Chen and Shao-Ming Fei

Abstract

Quantum entanglement lies at the heart in quantum information processing tasks. Although many criteria have been proposed, efficient and scalable methods to detect the entanglement of generally given quantum states are still not available yet, particularly for high-dimensional and multipartite quantum systems. Based on FixMatch and Pseudo-Label method, we propose a deep semi-supervised learning model with a small portion of labeled data and a large portion of unlabeled data. The data augmentation strategies are applied in this model by using the convexity of separable states and performing local unitary operations on the training data. We verify that our model has good generalization ability and gives rise to better accuracies compared to traditional supervised learning models by detailed examples.

Received:
06.02.24
Published:
06.02.24

Related publications

inJournal
2023 Repository Open Access
Lifeng Zhang, Zhi-Hua Chen and Shao-Ming Fei

Entanglement verification with deep semisupervised machine learning

In: Physical review / A, 108 (2023) 2, p. 022427