Jove
Visualize
Contact Us

Related Concept Videos

Fermi Level Dynamics01:12

Fermi Level Dynamics

1.0K
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
1.0K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

62.0K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
62.0K
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

2.6K
When an object is in equilibrium, it is either at rest or moving with a constant velocity. There are two types of equilibrium: static and dynamic. Static equilibrium occurs when an object is at rest, while dynamic equilibrium occurs when an object is moving with a constant velocity. In both cases, there must be a balance of forces acting on the object.
To understand the concept of equilibrium, let us first consider the forces acting on an object. When different forces act on an object, they can...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Precise Quantum Chemistry calculations with few Slater Determinants.

Nature communications·2026
Same author

Nuclear Responses with Neural-Network Quantum States.

Physical review letters·2026
Same author

Predicting topological entanglement entropy in a Rydberg analogue simulator.

Nature physics·2025
Same author

Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians.

Nature communications·2025
Same author

Phase Diagram and Crystal Melting of Helium-4 in Two Dimensions.

Physical review letters·2025
Same author

Unusual Energy Spectra of Matrix Product States.

Physical review letters·2025
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
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 Experiment Video

Updated: Apr 13, 2026

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
10:18

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

3.4K

Time-Dependent Neural Galerkin Method for Quantum Dynamics.

Alessandro Sinibaldi1,2, Douglas Hendry1,2, Filippo Vicentini3,4

  • 1École Polytechnique Fédérale de Lausanne (EPFL), Institute of Physics, CH-1015 Lausanne, Switzerland.

Physical Review Letters
|April 11, 2026
PubMed
Summary
This summary is machine-generated.

We developed a new computational method for quantum dynamics using a global variational principle. This approach efficiently simulates long-time quantum system evolution, revealing ergodicity breaking in 2D models.

More Related Videos

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.8K
Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

4.3K

Related Experiment Videos

Last Updated: Apr 13, 2026

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
10:18

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

3.4K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.8K
Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
06:37

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

4.3K

Area of Science:

  • Computational Physics
  • Quantum Dynamics
  • Quantum Many-Body Systems

Background:

  • Simulating quantum dynamics is computationally challenging, especially for long timescales.
  • Traditional time-stepping methods struggle with accuracy and efficiency for complex quantum systems.
  • Variational methods offer a promising avenue but often face limitations in capturing long-time behavior.

Purpose of the Study:

  • Introduce a novel classical computational method for quantum dynamics.
  • Develop a scheme that efficiently simulates the entire quantum state trajectory over a finite time window.
  • Enable the study of previously inaccessible dynamical regimes in strongly interacting quantum systems.

Main Methods:

  • Employ a global-in-time variational principle to enforce Schrödinger's equation.
  • Utilize a Galerkin-inspired Ansatz with time-dependent neural quantum states for variational state parametrization.
  • Minimize a global loss function to compute the quantum state trajectory.

Main Results:

  • Successfully simulated global quantum quenches in 1D and 2D transverse-field Ising models.
  • Uncovered signatures of ergodicity breaking in 2D systems.
  • Observed the absence of thermalization in two-dimensional simulations.

Conclusions:

  • The proposed method is competitive with state-of-the-art time-dependent variational approaches.
  • The global variational principle effectively bounds errors and is well-suited for long-time dynamics.
  • This approach unlocks new possibilities for simulating complex quantum phenomena.