Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Detection of Black Holes

Detection of Black Holes

Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Polaron transformed canonically consistent quantum master equation.

The Journal of chemical physics·2026

Same author

Classical Simulation of Circuits with Realistic Odd-Dimensional Gottesman-Kitaev-Preskill States.

Physical review letters·2025

Same author

Verifiable measurement-based quantum random sampling with trapped ions.

Nature communications·2025

Same author

Atom-doped photon engine: Extracting mechanical work from a quantum system via radiation pressure.

Physical review. E·2024

Same author

Degenerated Liouvillians and steady-state reduced density matrices.

Chaos (Woodbury, N.Y.)·2021

Same author

Dynamical structure factors of dynamical quantum simulators.

Proceedings of the National Academy of Sciences of the United States of America·2020

Search research articles

Related Experiment Video

Updated: May 5, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Entanglement detection with classical deep neural networks.

Julio Ureña^1,2, Antonio Sojo², Juani Bermejo-Vega^2,3

¹Instituto de Física Corpuscular (IFIC), CSIC and Universitat de València, Valencia, 46980, Spain.

Scientific Reports

|August 5, 2024

Summary

We developed an autonomous method using a multi-layer perceptron for detecting and classifying quantum entanglement. This technique achieves high accuracy in two- and three-qubit systems, advancing quantum information processing.

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

Related Experiment Videos

Last Updated: May 5, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

Area of Science:

Quantum mechanics
Quantum information science

Background:

Quantum entanglement is a fundamental phenomenon in quantum mechanics.
Understanding and detecting entanglement is crucial for quantum technologies.

Purpose of the Study:

To develop an autonomous method for detecting and classifying quantum entanglement.
To assess the performance of this method in two- and three-qubit systems.

Main Methods:

Utilized a multi-layer perceptron for entanglement detection.
Applied the method to analyze two- and three-qubit quantum systems.

Main Results:

Achieved nearly perfect accuracy in detecting entanglement in two-qubit systems.
Obtained over 90% accuracy for three-qubit system detection.
Successfully categorized three-qubit entangled states with up to 95% accuracy.

Conclusions:

The developed autonomous method is effective for quantum entanglement detection and classification.
The approach shows potential for scalability to larger quantum systems.
This work contributes to advancements in quantum information processing applications.