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

Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

5.3K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
5.3K
Entropy and the Second Law of Thermodynamics01:26

Entropy and the Second Law of Thermodynamics

274
Consider an isolated system in which a hot object is placed in contact with a cold one. This is an irreversible process that eventually leads both objects to reach the same equilibrium temperature. It is crucial to note that the constituents of any substance exhibit increased disorder at higher temperatures. As a cold substance absorbs heat, its constituents become more disordered. The energy transfer from a hotter object to a cooler one increases the system's disorder or randomness. This...
274
The Entropy as a State Function01:14

The Entropy as a State Function

104
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...
104
Entropy02:39

Entropy

38.1K
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...
38.1K
Entropy01:18

Entropy

3.8K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.8K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

28.6K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
28.6K

You might also read

Related Articles

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

Sort by
Same author

Nitrogen concentration control during diamond growth for NV<sup>-</sup> centre formation.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2023
Same author

Management of organic phosphorus poisoning using a pupillometer: a case report.

QJM : monthly journal of the Association of Physicians·2022
Same author

Self-Calibrating Superconducting Pair-Breaking Detector.

Physical review letters·2021
Same author

Proposed Model of the Giant Thermal Hall Effect in Two-Dimensional Superconductors: An Extension to the Superconducting Fluctuation Regime.

Physical review letters·2020
Same author

Quantifying the quantum heat contribution from a driven superconducting circuit.

Physical review. E·2020
Same author

Multiplexing Superconducting Qubit Circuit for Single Microwave Photon Generation.

Journal of low temperature physics·2020

Related Experiment Video

Updated: Apr 7, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K

Dephasing and dissipation in qubit thermodynamics.

J P Pekola1, Y Masuyama2, Y Nakamura2,3

  • 1Low Temperature Laboratory, Department of Applied Physics, Aalto University School of Science, P.O. Box 13500, 00076 Aalto, Finland.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|July 15, 2015
PubMed
Summary

This study shows that qubit dephasing and relaxation preserve fluctuation relations in nonequilibrium thermodynamics. Standard methods focusing only on internal energy fluctuations deviate from these relations.

More Related Videos

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

10.5K
Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
11:21

Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving

Published on: March 30, 2017

8.0K

Related Experiment Videos

Last Updated: Apr 7, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.3K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

10.5K
Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
11:21

Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving

Published on: March 30, 2017

8.0K

Area of Science:

  • Quantum information science
  • Non-equilibrium thermodynamics
  • Statistical mechanics

Background:

  • Quantum systems experience decoherence, affecting their thermodynamic properties.
  • The quantum jump approach models individual quantum processes and their stochastic evolution.
  • Fluctuation relations (FRs) are key concepts in non-equilibrium thermodynamics.

Purpose of the Study:

  • To analyze the stochastic evolution and dephasing of a qubit using the quantum jump approach.
  • To investigate the impact of qubit dephasing and relaxation on fluctuation relations.
  • To compare the quantum jump approach with standard protocols for evaluating FRs.

Main Methods:

  • Utilizing the quantum jump approach to model individual realizations of inelastic processes.
  • Analyzing the behavior of a qubit under dephasing and relaxation.
  • Comparing results from the quantum jump approach with a standard two-measurement protocol.

Main Results:

  • Dephasing and relaxation of a qubit maintain the integrity of Jarzynski and Crooks fluctuation relations.
  • Standard protocols focusing solely on internal energy fluctuations show deviations in FRs.
  • A relationship is established between the average of the exponential of internal energy and qubit relaxation/dephasing rates in the weak dissipation limit.

Conclusions:

  • The quantum jump approach accurately captures the behavior of fluctuation relations under decoherence.
  • Qubit decoherence mechanisms significantly influence the validity of fluctuation relations.
  • Understanding these relationships is crucial for quantum thermodynamics and statistical mechanics.