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Adiabatic Processes for an Ideal Gas01:18

Adiabatic Processes for an Ideal Gas

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When an ideal gas is compressed adiabatically, that is, without adding heat, work is done on it, and its temperature increases. In an adiabatic expansion, the gas does work, and its temperature drops. Adiabatic compressions actually occur in the cylinders of a car, where the compressions of the gas-air mixture take place so quickly that there is no time for the mixture to exchange heat with its environment. Nevertheless, because work is done on the mixture during the compression, its...
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Pressure and Volume in an Adiabatic Process01:27

Pressure and Volume in an Adiabatic Process

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Free expansion of a gas is an adiabatic process. However, there are few differences between free expansion and adiabatic expansion. During free expansion, no work is done, and there is no change in internal energy. But, for an adiabatic expansion, work is done, and there is a change in internal energy. During an adiabatic process, the relation between the pressure and volume is obtained from the condition for the adiabatic process, that is, 
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Entropy01:18

Entropy

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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...
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Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

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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...
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Path Between Thermodynamics States01:21

Path Between Thermodynamics States

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Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
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Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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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.
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Related Experiment Video

Updated: Jun 6, 2025

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Quantum Information Scrambling in Adiabatically Driven Critical Systems.

Ricardo Puebla1, Fernando J Gómez-Ruiz2

  • 1Departamento de Física, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain.

Entropy (Basel, Switzerland)
|November 27, 2024
PubMed
Summary

Quantum information scrambling spreads initial data across many quantum system parts. This study shows scrambling occurs even during slow, adiabatic evolution in critical systems, hindering information retrieval.

Keywords:
nonequilibrium critical dynamicsquantum information scramblingquantum phase transitions

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Area of Science:

  • Quantum physics
  • Many-body systems
  • Information theory

Background:

  • Information scrambling describes how quantum information spreads in many-body systems.
  • It's typically studied after sudden changes (quenches) and linked to thermalization.
  • Scrambling in critical systems under slow (adiabatic) evolution is less understood.

Purpose of the Study:

  • Extend quantum information scrambling to critical quantum many-body systems undergoing adiabatic evolution.
  • Analyze how symmetry-breaking information scrambles during adiabatic driving.
  • Investigate the mechanism and quantify scrambling in integrable models.

Main Methods:

  • Studied adiabatic evolution in Lipkin-Meshkov-Glick and quantum Rabi models.
  • Used a time-dependent protocol to drive systems between phases.
  • Analyzed observable expectation values and eigenstate participation to quantify scrambling.
  • Calculated Loschmidt echo and out-of-time-ordered correlators to assess information retrieval.

Main Results:

  • Demonstrated quantum information scrambling occurs even in perfect adiabatic evolutions.
  • Showed scrambling of symmetry-breaking information during adiabatic driving from a symmetry-breaking to a normal phase.
  • Quantified scrambling by the number of participating eigenstates.
  • Found information retrieval is fragile to perturbations, evidenced by vanishing Loschmidt echo and OTOCs.

Conclusions:

  • Quantum information scrambling is a feature of adiabatic evolution in critical systems, not just sudden quenches.
  • The mechanism involves scrambling of relative phases among eigenstates.
  • The phenomenon is experimentally verifiable and crucial for understanding information dynamics in critical quantum systems.