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

Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

5.5K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
5.5K
Measures of Intelligence01:29

Measures of Intelligence

8.9K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.9K
The Entropy as a State Function01:14

The Entropy as a State Function

95
Consider an arbitrary process that moves between two specific states (A and B) in a cyclic manner. This process is reversible and broken down into smaller parts that each follow a Carnot cycle. A Carnot cycle has two isothermal (constant temperature) processes. During these processes, the ratio of the amount of heat transferred to their respective temperature remains constant. The other two processes in the Carnot cycle are also reversible but adiabatic, which means they occur without any heat...
95
Measures of Central Tendency02:16

Measures of Central Tendency

23.2K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
23.2K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.4K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
3.4K
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

Corrigendum to "User evaluation of clinical simulation-based learning developed by FORCE (Framework for Online Radiographer Clinical Education)"[Radiography 31 (2025)].

Radiography (London, England : 1995)·2025
Same author

Professional challenges faced by student radiographers during COVID-19.

Radiography (London, England : 1995)·2025
Same author

Multi-omics driven genome-scale metabolic modeling improves viral vector yield in HEK293.

Metabolic engineering·2025
Same author

User evaluation of clinical simulation-based learning developed by FORCE (Framework for Online Radiographer Clinical Education).

Radiography (London, England : 1995)·2025
Same author

Ultrasound education across European Federation of Radiographers Societies (EFRS) countries: Similarities and differences.

Radiography (London, England : 1995)·2024
Same author

Achievement of Target Gain Larger than Unity in an Inertial Fusion Experiment.

Physical review letters·2024
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Mar 30, 2026

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

Operational Multipartite Entanglement Measures.

K Schwaiger1, D Sauerwein1, M Cuquet1

  • 1Institute for Theoretical Physics, University of Innsbruck, Innsbruck A-6020, Austria.

Physical Review Letters
|November 10, 2015
PubMed
Summary
This summary is machine-generated.

We developed new ways to measure quantum entanglement in complex systems. These operational entanglement measures help quantify how easily states can be created or used for quantum communication.

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

8.9K
Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.8K

Related Experiment Videos

Last Updated: Mar 30, 2026

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
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

8.9K
Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

10.8K

Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Entanglement

Background:

  • Quantum entanglement is a key resource in quantum information science.
  • Characterizing entanglement in multipartite systems is challenging.
  • Existing measures may not fully capture operational aspects of entanglement.

Purpose of the Study:

  • To introduce novel operational entanglement measures for arbitrary multipartite quantum states.
  • To quantify the potential of a quantum state for generating other states.
  • To assess the resource cost of preparing a given quantum state.

Main Methods:

  • Development of two distinct operational entanglement measures.
  • Generalization of these measures to broader classes of entanglement quantifiers.
  • Computation of measures for pure few-partite quantum states.

Main Results:

  • Introduced measures applicable to both pure and mixed multipartite states.
  • Quantified state generation potential and preparation simplicity.
  • Identified Greenberger-Horne-Zeilinger (GHZ) and W states as optimal for three-qubit manipulation.

Conclusions:

  • The new measures provide a practical framework for understanding multipartite entanglement.
  • Operational entanglement characterization is crucial for quantum technologies.
  • GHZ and W states represent maximal entanglement resources in three-qubit systems.