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

49.9K
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.
49.9K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

57.1K
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.
57.1K
Classical Conditioning01:18

Classical Conditioning

2.1K
Associative learning, a core principle in behavioral psychology, involves forming connections between events and facilitating learned responses. This concept is vividly illustrated by classical conditioning, a process extensively studied by the Russian physiologist Ivan Pavlov. Pavlov's pioneering research on dogs' digestive systems led to the discovery that behaviors can be learned through association, laying the groundwork for classical conditioning.
Ivan Pavlov observed that dogs...
2.1K
Principles of Classical Conditioning01:23

Principles of Classical Conditioning

1.8K
Classical conditioning, as described by Ivan Pavlov, is a foundational concept in associative learning, where a neutral stimulus becomes capable of eliciting a conditioned response through association with an unconditioned stimulus. The process of acquisition, where this learning occurs, and the subsequent phenomena of contiguity, contingency, generalization, discrimination, extinction, and spontaneous recovery are crucial for a comprehensive understanding of classical conditioning.
During the...
1.8K
Classical Conditioning in Daily Life01:17

Classical Conditioning in Daily Life

2.2K
Classical conditioning, a fundamental principle of associative learning, explains various phenomena observed in daily life, such as fear development, the placebo effect, taste aversion, and drug habituation. These applications demonstrate the profound impact of associative learning on human behavior and physiological responses.
John B. Watson and Rosalie Rayner famously demonstrated the development of fear through classical conditioning in their experiment with Little Albert. They paired the...
2.2K
Real-World Application of Classical Conditioning01:15

Real-World Application of Classical Conditioning

1.3K
Classical conditioning not only includes the initial pairing of stimuli but also extends to more complex forms, such as higher-order conditioning. Higher-order conditioning involves creating associations beyond the primary conditioned stimulus, resulting in a chain of conditioned responses.
Higher-order, or second-order, conditioning occurs when a neutral stimulus becomes associated with an already established conditioned stimulus through repeated pairings. For instance, if a dog has been...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Intraband dynamics and exciton trapping in the LH2 complex of Rhodopseudomonas acidophila.

The Journal of chemical physics·2021
Same author

Exciton transfer using rates extracted from the "hierarchical equations of motion".

The Journal of chemical physics·2020
Same author

Simulating vibronic spectra via Matsubara-like dynamics: Coping with the sign problem.

The Journal of chemical physics·2018
Same author

Using fluorescence detected two-dimensional spectroscopy to investigate initial exciton delocalization between coupled chromophores.

The Journal of chemical physics·2018
Same author

Quasi-classical approaches to vibronic spectra revisited.

The Journal of chemical physics·2018
Same author

A time-correlation function approach to nuclear dynamical effects in X-ray spectroscopy.

The Journal of chemical physics·2017
Same journal

A data-driven modeling study on the accurate identification of Doppler-free saturated absorption spectra in diatomic tellurium (130Te2).

The Journal of chemical physics·2026
Same journal

Anharmonic phonons via quantum thermal bath simulations.

The Journal of chemical physics·2026
Same journal

Quantum simulation of alignment dependent differential cross sections in co-propagating molecular beams at cold collision energies.

The Journal of chemical physics·2026
Same journal

Non-additive ion effects on the coil-globule equilibrium of a generic polymer in aqueous salt solutions.

The Journal of chemical physics·2026
Same journal

Insights into the unexpected small reduction of the temperature of maximum density of water by lithium chloride addition.

The Journal of chemical physics·2026
Same journal

Optical frequency comb double-resonance spectroscopy of the 9030-9175 cm-1 states of ethylene.

The Journal of chemical physics·2026
See all related articles

Related Experiment Video

Updated: Jan 28, 2026

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

On computing spectral densities from classical, semiclassical, and quantum simulations.

Fabian Gottwald1, Sergei D Ivanov1, Oliver Kühn1

  • 1Institute of Physics, University of Rostock, Albert Einstein Straße 23-24, 18059 Rostock, Germany.

The Journal of Chemical Physics
|March 3, 2019
PubMed
Summary
This summary is machine-generated.

Spectral densities in the Caldeira-Leggett model are surprisingly accurate even when calculated using classical simulations. Quantum effects do not need to be included for accurate spectral density calculations in this model.

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.0K
Absolute Quantum Yield Measurement of Powder Samples
14:20

Absolute Quantum Yield Measurement of Powder Samples

Published on: May 12, 2012

28.7K

Related Experiment Videos

Last Updated: Jan 28, 2026

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
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.0K
Absolute Quantum Yield Measurement of Powder Samples
14:20

Absolute Quantum Yield Measurement of Powder Samples

Published on: May 12, 2012

28.7K

Area of Science:

  • Quantum chemistry
  • Computational physics
  • Chemical dynamics

Background:

  • The Caldeira-Leggett model characterizes thermal environments using spectral density functions.
  • This has enabled various quantum methods for reduced density matrix propagation.
  • Spectral densities are often derived from classical molecular dynamics simulations.

Purpose of the Study:

  • To investigate the necessity of including quantum effects in spectral density calculations.
  • To reformulate the Fourier method for spectral density calculations from semiclassical simulations.
  • To evaluate different protocols for incorporating approximate quantum effects.

Main Methods:

  • Reformulation of the Fourier method for spectral density calculations.
  • Proposal of two protocols: correlation functions and expectation values.
  • Testing on Caldeira-Leggett model using linearized semiclassical initial-value representation (LSC-IVR), thawed Gaussian wave packet dynamics (TGWD), and hybrid schemes.

Main Results:

  • LSC-IVR, a classical method, yielded highly accurate spectral densities even in the quantum regime.
  • TGWD and hybrid schemes showed inaccuracies in spectral density calculations.
  • Spectral densities were found to be insensitive to quantum effects in the Caldeira-Leggett model.

Conclusions:

  • Classical simulations are sufficient for computing spectral densities in the Caldeira-Leggett model.
  • Attempting to include approximate quantum effects can introduce errors.
  • Computed spectral densities from classical simulations can be reliably used in reduced quantum simulations.