Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Classifying Matter by State02:49

Classifying Matter by State

108.7K
Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
108.7K
Atomic Nuclei: Nuclear Spin State Overview01:03

Atomic Nuclei: Nuclear Spin State Overview

2.2K
NMR-active nuclei have energy levels called 'spin states' that are associated with the orientations of their nuclear magnetic moments. In the absence of a magnetic field, the nuclear magnetic moments are randomly oriented, and the spin states are degenerate. When an external magnetic field is applied, the spin states have only 2 + 1 orientations available to them. A proton with = ½ has two available orientations. Similarly, for a quadrupolar nucleus with a nuclear spin value of one, the...
2.2K
Quantum Numbers02:43

Quantum Numbers

54.3K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
54.3K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

61.7K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
61.7K
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

61.5K
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
61.5K
Entropy02:39

Entropy

37.9K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
37.9K

You might also read

Related Articles

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

Sort by
Same author

The Face Deepfake Detection Challenge.

Journal of imaging·2022
Same author

An Holistic Extension for Classical Logic via Quantum Fredkin Gate.

Entropy (Basel, Switzerland)·2021
Same author

Studying the effect of lockdown using epidemiological modelling of COVID-19 and a quantum computational approach using the Ising spin interaction.

Scientific reports·2020
Same author

Probabilities and Epistemic Operations in the Logics of Quantum Computation.

Entropy (Basel, Switzerland)·2020
Same author

Logical Structures Underlying Quantum Computing.

Entropy (Basel, Switzerland)·2020
Same author

Holistic Type Extension for Classical Logic via Toffoli Quantum Gate.

Entropy (Basel, Switzerland)·2020
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Apr 1, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.2K

A quantum-inspired classification for random mixed states.

Giuseppe Sergioli1, Carlo Cuccu2, Carla Sophie Rieger3,4

  • 1Università degli Studi di Cagliari, Via Is Mirrionis 1, Cagliari, 09123, Italy. giuseppe.sergioli@gmail.com.

Scientific Reports
|March 30, 2026
PubMed
Summary
This summary is machine-generated.

We developed a quantum-inspired classifier to identify entanglement in mixed quantum states. This method extends previous work and offers scalable tools for characterizing quantum correlations.

Keywords:
Mixed statesPGM classifierQuantum states classificationQuantum-inspired machine learning

More Related Videos

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

9.1K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Related Experiment Videos

Last Updated: Apr 1, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.2K
A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

9.1K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.2K

Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Machine Learning

Background:

  • Distinguishing quantum states (product, separable, entangled) is crucial in quantum information.
  • The Pretty-Good-Measurement (PGM) classifier showed promise for pure quantum states.
  • Classifying mixed quantum states presents significant challenges due to their complexity.

Purpose of the Study:

  • To extend the PGM classifier for analyzing correlations in mixed quantum states.
  • To develop a quantum-inspired framework for identifying entanglement and separability.
  • To assess the performance of this framework on random mixed quantum state ensembles.

Main Methods:

  • A quantum-inspired classification framework was developed.
  • The framework was applied to ensembles of two- and three-qubit random mixed states.
  • The method builds upon the Pretty-Good-Measurement (PGM) classifier.

Main Results:

  • The classifier successfully identified product, separable, and entangled states in mixed ensembles.
  • The framework demonstrated scalability for characterizing quantum correlations.
  • Results confirm the utility of quantum state discrimination principles for mixed states.

Conclusions:

  • Quantum-inspired learning architectures provide effective tools for mixed-state entanglement characterization.
  • The developed framework offers a scalable and physically grounded approach.
  • This method advances the study of quantum correlations in complex quantum systems.