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

Quantum Numbers02:43

Quantum Numbers

49.3K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
49.3K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

56.6K
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.
56.6K
Control Volume and System Representations01:16

Control Volume and System Representations

1.5K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.5K
Power Dissipated in a Circuit: Problem Solving01:15

Power Dissipated in a Circuit: Problem Solving

1.6K
The equivalent resistance of a combination of resistors depends on their values and how they are connected.
The simplest combinations of resistors are series and parallel connections. In a series circuit, the first resistor's output current flows into the second resistor's input; therefore, each resistor's current is the same. Thus, the equivalent resistance is the algebraic sum of the resistances. The current through the circuit can be found from Ohm's law and is equal to the...
1.6K
State Space Representation01:27

State Space Representation

534
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
534
Gradient Echo Quantum Memory in Warm Atomic Vapor10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

13.2K
The gradient echo memory is a protocol for storing optical quantum states of light in atomic ensembles. Quantum memory is a key element of a quantum repeater, which can extend the range of quantum key distribution. We outline the operation of the scheme when implemented in a 3-level atomic...
13.2K

You might also read

Related Articles

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

Sort by
Same author

Sensor Drift Compensation Based on the Improved LSTM and SVM Multi-Class Ensemble Learning Models.

Sensors (Basel, Switzerland)·2019
Same author

<i>HEADLESS</i> Regulates Auxin Response and Compound Leaf Morphogenesis in <i>Medicago truncatula</i>.

Frontiers in plant science·2019
Same author

1,2-Aminohalogenation of arynes with amines and organohalides.

Chemical communications (Cambridge, England)·2019
Same author

Effect of Taurine on Alterations in Deiodinase 3 Expression Induced by BDE 209 in Human Neuroblasoma-Derived SK-N-AS Cells.

Advances in experimental medicine and biology·2019
Same author

A new technology for reducing anastomotic fistula in the neck after esophageal cancer surgery.

Journal of thoracic disease·2019
Same author

Sophora alopecuroides L.: An ethnopharmacological, phytochemical, and pharmacological review.

Journal of ethnopharmacology·2019

Related Experiment Video

Updated: Jan 20, 2026

Quantum Numbers- Principal, Azimuthal, Magnetic and Spin
02:43

Quantum Numbers- Principal, Azimuthal, Magnetic and Spin

49.3K

Stochastic Representation of Non-Markovian Fermionic Quantum Dissipation.

Lu Han1, Vladimir Chernyak1,2, Yun-An Yan3

  • 1Hefei National Laboratory for Physical Sciences at the Microscale & Synergetic Innovation Center of Quantum Information and Quantum Physics & CAS Center for Excellence in Nanoscience, University of Science and Technology of China, Hefei, Anhui 230026, China.

Physical Review Letters
|September 7, 2019
PubMed
Summary

Researchers developed a new method to simulate quantum Brownian motion in fermionic environments. This approach maps complex Grassmann-valued fields to conventional noises, enabling accurate simulations of quantum systems.

More Related Videos

The Quantum-Mechanical Model of an Atom
02:45

The Quantum-Mechanical Model of an Atom

56.6K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K

Related Experiment Videos

Last Updated: Jan 20, 2026

Quantum Numbers- Principal, Azimuthal, Magnetic and Spin
02:43

Quantum Numbers- Principal, Azimuthal, Magnetic and Spin

49.3K
The Quantum-Mechanical Model of an Atom
02:45

The Quantum-Mechanical Model of an Atom

56.6K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K

Area of Science:

  • Quantum physics
  • Condensed matter theory
  • Computational physics

Background:

  • Quantum Brownian motion is crucial in modern physics.
  • Environmental fluctuations in path integrals are modeled by stochastic fields.
  • Fermionic environments require nonclassical Grassmann-valued fields.

Purpose of the Study:

  • To develop a method for simulating fermionic dissipative dynamics.
  • To map Grassmann-valued fields to conventional c-number noises.
  • To enable direct stochastic simulation of quantum systems.

Main Methods:

  • Mapping Grassmann-number fields to c-number noises and quantized pseudolevels.
  • Deriving a stochastic equation of motion (SEOM).
  • Numerical studies on a single-impurity Anderson model.

Main Results:

  • The SEOM enables direct stochastic simulation of fermionic dissipative dynamics.
  • Exact physical observables are obtained for noninteracting systems.
  • Accurate approximate results are achieved for interacting systems.

Conclusions:

  • The proposed strategy and SEOM are practical and accurate.
  • This method facilitates the study of quantum systems with fermionic environments.
  • Numerical examples validate the approach for complex models.