Jove
Visualize
Contact Us

Related Concept Videos

Understanding Memory01:19

Understanding Memory

1.3K
Memory is the retention of information or experiences over time, facilitated through three main processes: encoding, storage, and retrieval. Encoding is the process of inputting information into the memory system. For instance, when listening to a lecture, watching a play, reading a book, or having a conversation, the brain is actively encoding information. This initial stage involves transforming sensory input into a form that can be processed and stored by the brain. Various factors, such as...
1.3K
Molecular Spectroscopy: Absorption and Emission01:14

Molecular Spectroscopy: Absorption and Emission

4.3K
Molecules possess discrete energy levels called quantum states. Unlike atoms, which have simpler energy levels, molecules possess additional rotational and vibrational energy levels.  Each energy level is separated by an energy gap, with the gaps between adjacent electronic, vibrational, and rotational levels varying significantly. The three types of energy levels in a diatomic molecule are shown in Figure 1.
4.3K
IR Absorption Frequency: Delocalization01:04

IR Absorption Frequency: Delocalization

1.3K
Electron delocalization refers to the distribution of electrons across multiple atoms within a molecule rather than being confined to a single atom or bond. This phenomenon is common in systems with conjugated bonds—structures where alternating single and double bonds allow π-electrons to move freely across the network. The movement of electrons stabilizes the molecule and can affect various chemical properties, including vibrational frequencies observed in IR spectroscopy.
In IR...
1.3K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

56.4K
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.
56.4K
Interference and Decay01:16

Interference and Decay

394
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
394
The de Broglie Wavelength02:32

The de Broglie Wavelength

32.8K
In the macroscopic world, objects that are large enough to be seen by the naked eye follow the rules of classical physics. A billiard ball moving on a table will behave like a particle; it will continue traveling in a straight line unless it collides with another ball, or it is acted on by some other force, such as friction. The ball has a well-defined position and velocity or well-defined momentum, p = mv, which is defined by mass m and velocity v at any given moment. This is the typical...
32.8K

You might also read

Related Articles

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

Sort by
Same author

Scalable quantum photonic platform based on site-controlled quantum dots coupled to circular Bragg grating resonators.

Light, science & applications·2026
Same author

Enhancement of Indistinguishable-Photon Emission from a GaAs Quantum Dot via Charge-Noise Suppression.

Physical review letters·2026
Same author

<i>k</i>-Resolved Ultrafast Light-Induced Band Renormalization in Monolayer WS<sub>2</sub> on Graphene.

Nano letters·2025
Same author

Ultrafast Coherent Exciton Couplings and Many-Body Interactions in Monolayer WS<sub>2</sub>.

Nano letters·2024
Same author

Engineering the Impact of Phonon Dephasing on the Coherence of a WSe_{2} Single-Photon Source via Cavity Quantum Electrodynamics.

Physical review letters·2024
Same author

Nonlinear and Negative Effective Diffusivity of Interlayer Excitons in Moiré-Free Heterobilayers.

Physical review letters·2024
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: Jan 7, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.1K

Connection between Memory Performance and Optical Absorption in Quantum Reservoir Computing.

Niclas Götting1, Steffen Wilksen1, Alexander Steinhoff1

  • 1Carl von Ossietzky University Oldenburg, Institute for Physics, Faculty V, 26129 Oldenburg, Germany.

Physical Review Letters
|January 2, 2026
PubMed
Summary

Quantum reservoir computing (QRC) performance is linked to optical absorption. Optimal short-term memory capacity in quantum neural networks corresponds to maximal absorption, explaining previous findings.

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

Related Experiment Videos

Last Updated: Jan 7, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.1K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

Area of Science:

  • Quantum Computing
  • Machine Learning
  • Quantum Information Theory

Background:

  • Quantum reservoir computing (QRC) is a promising approach for machine learning on noisy quantum devices.
  • Existing performance benchmarks like short-term memory capacity (STMC) lack physical insight into quantum neural network mechanisms.

Purpose of the Study:

  • To establish a quantitative link between a quantum reservoir's optical absorption spectrum and its memory performance.
  • To provide a physical explanation for the observed "sweet-spot" behavior in QRC performance.

Main Methods:

  • Analyzing the relationship between optical absorption spectra and STMC in quantum reservoirs.
  • Connecting information-theoretical benchmarks with experimentally measurable physical properties.

Main Results:

  • A direct correlation was found between optimal STMC and maximal optical absorption.
  • This finding provides a physical basis for the "sweet-spot" phenomenon in QRC performance related to dissipation.
  • The study bridges quantum information theory with experimental physics.

Conclusions:

  • Optimal QRC performance is physically linked to maximal optical absorption.
  • This connection enables targeted engineering of quantum reservoirs for specific machine learning tasks.
  • The research facilitates the development of more efficient quantum neural networks.