# Detecting quantum entanglement with unsupervised learning

@article{Chen2021DetectingQE, title={Detecting quantum entanglement with unsupervised learning}, author={Yiwei Chen and Yu Pan and Guofeng Zhang and Shuming Cheng}, journal={Quantum Science \& Technology}, year={2021}, volume={7} }

Quantum properties, such as entanglement and coherence, are indispensable resources in various quantum information processing tasks. However, there still lacks an efficient and scalable way to detecting these useful features especially for high-dimensional and multipartite quantum systems. In this work, we exploit the convexity of samples without the desired quantum features and design an unsupervised machine learning method to detect the presence of such features as anomalies. Particularly, in…

## 11 Citations

### Entanglement detection with artificial neural networks

- Computer Science, PhysicsScientific Reports
- 2023

This paper constructs a classifier by employing the relationship between coherence and entanglement for supervised machine learning methods and encodes multiple Bell-type inequalities for the relative entropy of coherence into an artificial neural network to detect the entangled and separable states in a quantum dataset.

### Two-Qutrit entanglement: 56-years old algorithm challenges machine learning

- Physics
- 2022

Classifying states as entangled or separable is a highly challenging task, while it is also one of the foundations of quantum information processing theory. This task is higly nontrivial even for…

### Certifying Unknown Genuine Multipartite Entanglement by Neural Networks

- Computer Science, Physics
- 2022

This work shows that neural networks can provide a nice solution to this problem, where measurement statistics data produced by measuring involved quantum states with local measurement devices serve as input features of neural networks.

### Quantification of entanglement with Siamese convolutional neural networks

- Computer ScienceArXiv
- 2022

It is shown that enforcing entanglement-preserving symmetry operations (local operations on qubit or permutations of qubits) by using triple Siamese network, can signiﬁcantly increase the model performance and ability to generalize on types of states not seen during the training stage, proving the scalability of the proposed approach.

### Quantum variational learning for entanglement witnessing

- Computer Science, Physics2022 International Joint Conference on Neural Networks (IJCNN)
- 2022

This work made use of Quantum Neural Networks (QNNs) in order to successfully learn how to reproduce the action of an entanglement witness, and may pave the way to an efficient combination of QML algorithms and quantum information protocols, possibly outperforming classical approaches to analyse quantum data.

### Quantum neural network autoencoder and classifier applied to an industrial case study

- Computer ScienceQuantum Mach. Intell.
- 2022

This work proposes a quantum pipeline, comprising a quantum autoencoder followed by a quantum classifier, which are used to first compress and then label classical data coming from a separator, i.e., a machine used in one of Eni's Oil Treatment Plants.

### New results of quasi-projective synchronization for fractional-order complex-valued neural networks with leakage and discrete delays

- MathematicsChaos, Solitons & Fractals
- 2022

### Efficient Bipartite Entanglement Detection Scheme with a Quantum Adversarial Solver.

- PhysicsPhysical review letters
- 2022

The recognition of entanglement states is a notoriously difficult problem when no prior information is available. Here, we propose an efficient quantum adversarial bipartite entanglement detection…

### Systematic Literature Review: Quantum Machine Learning and its applications

- Computer Science, PhysicsArXiv
- 2022

A review of the literature published between 2017 and 2021 to identify, analyze and classify the different types of algorithms used in quantum machine learning and their applications and shows their implementation using computational quantum circuits or ansatzs.

### Quantum Verification and Estimation with Few Copies

- PhysicsAdvanced Quantum Technologies
- 2022

As quantum technologies advance, the ability to generate increasingly large quantum states has experienced rapid development. In this context, the verification and estimation of large entangled…

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