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

Stability of Equilibrium Configuration01:23

Stability of Equilibrium Configuration

579
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
579
Spin–Spin Coupling Constant: Overview01:08

Spin–Spin Coupling Constant: Overview

1.1K
In bromoethane, the three methyl protons are coupled to the two methylene protons that are three bonds away. In accordance with the n+1 rule, the signal from the methyl protons is split into three peaks with 1:2:1 relative intensities. The methylene protons appear as a quartet, with the relative intensities of 1:3:3:1.
Qualitatively, any spin plus-half nucleus polarizes the spins of its electrons to the minus-half state. Consequently, the paired electron in the hydrogen–carbon bond must...
1.1K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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

Atomic Nuclei: Nuclear Spin State Population Distribution

1.4K
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.
1.4K
Stability of Conjugated Dienes01:28

Stability of Conjugated Dienes

3.8K
Introduction
A comparison of the enthalpies of hydrogenation of dienes reveals that conjugated dienes release less heat on hydrogenation, rendering them more stable than their nonconjugated analogs.
3.8K
Atomic Nuclei: Types of Nuclear Relaxation01:28

Atomic Nuclei: Types of Nuclear Relaxation

465
Nuclear relaxation restores the equilibrium population imbalance and can occur via spin–lattice or spin–spin mechanisms, which are first-order exponential decay processes.
In spin–lattice or longitudinal relaxation, the excited spins exchange energy with the surrounding lattice as they return to the lower energy level. Among several mechanisms that contribute to spin–lattice relaxation, magnetic dipolar interactions are significant. Here, the excited nucleus transfers...
465

You might also read

Related Articles

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

Sort by
Same author

Reinforcement learning control of quantum error correction.

Nature·2026
Same author

Subexponential Decay of Local Correlations from Diffusion-Limited Dephasing.

Physical review letters·2026
Same author

Measurement-Induced Entanglement in Conformal Field Theory.

Physical review letters·2026
Same author

Error Mitigation Thresholds in Noisy Random Quantum Circuits.

Physical review. B·2026
Same author

Conditional Mutual Information and Information-Theoretic Phases of Decohered Gibbs States.

Physical review letters·2025
Same author

Superdiffusive Transport in Chaotic Quantum Systems with Nodal Interactions.

Physical review letters·2025

Related Experiment Video

Updated: Oct 24, 2025

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

6.5K

Stability of Superdiffusion in Nearly Integrable Spin Chains.

Jacopo De Nardis1, Sarang Gopalakrishnan2, Romain Vasseur3

  • 1Laboratoire de Physique Théorique et Modélisation, CNRS UMR 8089, CY Cergy Paris Université, 95302 Cergy-Pontoise Cedex, France.

Physical Review Letters
|August 16, 2021
PubMed
Summary
This summary is machine-generated.

Giant quasiparticles cause superdiffusion in integrable systems. These quasiparticles persist even with minor perturbations, leading to divergent conductivity, unlike conventional diffusion observed when non-Abelian symmetry is broken.

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

9.9K
Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

3.8K

Related Experiment Videos

Last Updated: Oct 24, 2025

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging
06:34

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

6.5K
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

9.9K
Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

3.8K

Area of Science:

  • Condensed matter physics
  • Quantum many-body systems
  • Transport phenomena

Background:

  • Superdiffusive transport observed in integrable systems with non-Abelian symmetries.
  • Giant Goldstone-like quasiparticles, stabilized by integrability, are responsible for superdiffusion.

Purpose of the Study:

  • Investigate the persistence of giant quasiparticles and their impact on conductivity in non-integrable systems.
  • Analyze the effects of different types of perturbations on transport properties.

Main Methods:

  • Perturbative analysis of low-frequency conductivity (σ(ω)).
  • Distinguishing between translation-invariant static perturbations and noisy perturbations.
  • Comparing with integrability-breaking perturbations that disrupt non-Abelian symmetry.

Main Results:

  • Giant quasiparticles lead to divergent conductivity (σ(ω)∼ω^{-1/3} or σ(ω)∼|logω|) even in nearly integrable systems.
  • Translation-invariant static perturbations conserve energy and yield specific conductivity scaling.
  • Noisy perturbations result in logarithmic conductivity divergence.
  • Integrability-breaking perturbations that disrupt non-Abelian symmetry lead to conventional diffusion.
  • Numerical evidence supports the theoretical distinction between perturbation types.

Conclusions:

  • Giant quasiparticles contribute to superdiffusion and divergent conductivity beyond perfect integrability.
  • The nature of perturbations dictates the transport behavior, distinguishing between superdiffusion and conventional diffusion.
  • Crossover to regular diffusion in nearly integrable systems requires higher-order theoretical analysis.