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Entropy02:39

Entropy

28.8K
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...
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Third Law of Thermodynamics02:38

Third Law of Thermodynamics

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A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.8K
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...
2.8K
Atomic Nuclei: Nuclear Spin State Population Distribution01:14

Atomic Nuclei: Nuclear Spin State Population Distribution

959
Near absolute zero temperatures, in the presence of a magnetic field, the majority of nuclei prefer the lower energy spin-up state to the higher energy spin-down state. As temperatures increase, the energy from thermal collisions distributes the spins more equally between the two states. The Boltzmann distribution equation gives the ratio of the number of spins predicted in the spin −½ (N−) and spin +½ (N+) states.
959
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

5.2K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
5.2K
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

23.2K
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...
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Related Experiment Video

Updated: Jun 11, 2025

Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
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Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving

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Ultraslow Growth of Number Entropy in an ℓ-Bit Model of Many-Body Localization.

David Aceituno Chávez1, Claudia Artiaco1, Thomas Klein Kvorning1

  • 1Department of Physics, <a href="https://ror.org/026vcq606">KTH Royal Institute of Technology</a>, Stockholm 106 91, Sweden.

Physical Review Letters
|October 7, 2024
PubMed
Summary

Slow growth in number entropy after a quench suggests many-body localization. A novel random circuit model with localized bits and decaying interactions shows ultraslow entropy growth, saturating with system size.

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Area of Science:

  • Quantum physics
  • Condensed matter theory
  • Statistical mechanics

Background:

  • Many-body localization (MBL) is a phenomenon where quantum systems fail to thermalize due to strong disorder.
  • Understanding the dynamics and signatures of MBL is crucial for quantum information science and statistical mechanics.

Purpose of the Study:

  • To investigate the consistency of slow number entropy growth with many-body localization.
  • To develop and analyze a novel quantum circuit model exhibiting MBL characteristics.

Main Methods:

  • Construction of a random circuit model using exponentially localized ℓ-bits.
  • Inclusion of exponentially decaying interactions between these ℓ-bits.
  • Numerical simulation of the number entropy evolution following a quench from a Néel state.

Main Results:

  • Observed ultraslow growth of number entropy, deviating from typical thermalizing behavior.
  • Entropy growth was found to saturate at a value that scales with system size.
  • The observed dynamics are consistent with theoretical predictions for many-body localization.

Conclusions:

  • The slow growth of number entropy is a potential indicator of many-body localization.
  • Microscopic models exhibiting such entropy growth cannot definitively rule out MBL.
  • The developed random circuit model provides a valuable platform for studying MBL dynamics.