Jove
Visualize
Contact Us

Related Concept Videos

Quantum Numbers02:43

Quantum Numbers

34.9K
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.
34.9K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.5K
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.
42.5K
Classifying Matter by State02:49

Classifying Matter by State

74.5K
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. 
74.5K
Phase Transitions02:31

Phase Transitions

19.2K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
19.2K
Phase Diagrams02:39

Phase Diagrams

41.5K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
41.5K
Phase Changes01:19

Phase Changes

4.4K
Phase transitions play an important theoretical and practical role in the study of heat flow. In melting or fusion, a solid turns into a liquid; the opposite process is freezing. In evaporation, a liquid turns into a gas; the opposite process is condensation.
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...
4.4K

You might also read

Related Articles

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

Sort by
Same author

Computational speed-up with a single qudit.

Scientific reports·2015
Same author

Emergence of the pointer basis through the dynamics of correlations.

Physical review letters·2012
Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026
Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026
Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026
Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026
Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026
Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026
See all related articles
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 Experiment Video

Updated: Jul 17, 2025

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

14.6K

Model-independent quantum phases classifier.

F Mahlow1, F S Luiz2, A L Malvezzi2

  • 1Faculty of Sciences, UNESP-São Paulo State University, 17033-360, Bauru, SP, Brazil. f.mahlow@unesp.br.

Scientific Reports
|September 2, 2023
PubMed
Summary
This summary is machine-generated.

A new machine learning classifier can identify quantum phases without prior training on specific models. This k-Nearest Neighbors approach shows promise for a universal quantum phase classifier.

More Related Videos

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.4K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K

Related Experiment Videos

Last Updated: Jul 17, 2025

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

14.6K
Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.4K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

42.9K

Area of Science:

  • Quantum physics
  • Machine learning
  • Condensed matter theory

Background:

  • Machine learning (ML) has significantly advanced scientific research.
  • Classifying quantum phases is crucial for understanding complex materials.
  • Current methods often require prior knowledge of the system's Hamiltonian.

Purpose of the Study:

  • To develop a model-independent classifier for quantum phases.
  • To demonstrate the efficacy of the k-Nearest Neighbors algorithm in this task.
  • To lay the groundwork for a universal quantum phase recognition tool.

Main Methods:

  • Utilized the k-Nearest Neighbors algorithm for classification.
  • Trained the classifier on data from three distinct spin-1 chain models (XXZ with anisotropy, bond alternating XXZ, bilinear biquadratic).
  • Tested the classifier's ability to identify common phases across these models without specific Hamiltonian training.

Main Results:

  • The k-Nearest Neighbors classifier successfully identified common quantum phases across different models.
  • The algorithm achieved high probability in classifying phases it was not explicitly trained on.
  • Demonstrated a model-independent approach to quantum phase classification.

Conclusions:

  • A model-independent classifier using k-Nearest Neighbors is feasible for quantum phase recognition.
  • This approach represents a significant step towards a universal classifier for quantum states.
  • Future work can explore recognizing arbitrary phases with limited quantum state information.