Jove
Visualize
Contact Us

Related Concept Videos

Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

23.9K
An ionic compound is stable because of the electrostatic attraction between its positive and negative ions. The lattice energy of a compound is a measure of the strength of this attraction. The lattice energy (ΔHlattice) of an ionic compound is defined as the energy required to separate one mole of the solid into its component gaseous ions. For the ionic solid sodium chloride, the lattice energy is the enthalpy change of the process:
23.9K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.3K
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.
42.3K
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

642
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
642
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

9.6K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
9.6K
Fermi Level Dynamics01:12

Fermi Level Dynamics

246
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...
246
Quantum Numbers02:43

Quantum Numbers

34.7K
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.
34.7K

You might also read

Related Articles

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

Sort by
Same author

Surrogate optimization of variational quantum circuits.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Lanczos Algorithm, the Transfer Matrix, and the Signal-to-Noise Problem.

Physical review letters·2025
Same author

Hadronic Vacuum Polarization for the Muon g-2 from Lattice QCD: Long-Distance and Full Light-Quark Connected Contribution.

Physical review letters·2025
Same author

QCD Constraints on Isospin-Dense Matter and the Nuclear Equation of State.

Physical review letters·2025
Same author

Lineage-specific patterns in the Moraceae family allow identification of convergent P450 enzymes involved in furanocoumarin biosynthesis.

The New phytologist·2025
Same author

Determination of the Collins-Soper Kernel from Lattice QCD.

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: Jul 2, 2025

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

9.6K

Simulating Z_{2} lattice gauge theory on a quantum computer.

Clement Charles1,2, Erik J Gustafson3,4,5, Elizabeth Hardt6,7

  • 1Department of Physics, The University of the West Indies, St. Augustine Campus, Trinidad and Tobago.

Physical Review. E
|February 17, 2024
PubMed
Summary

Quantum error mitigation techniques improve noisy quantum simulations of Z_{2} gauge theory. These methods enhance accuracy, enabling reliable extraction of particle masses from quantum computations.

More Related Videos

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots
15:47

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots

Published on: November 1, 2013

16.2K
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

551

Related Experiment Videos

Last Updated: Jul 2, 2025

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

9.6K
Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots
15:47

Nanofabrication of Gate-defined GaAs/AlGaAs Lateral Quantum Dots

Published on: November 1, 2013

16.2K
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

551

Area of Science:

  • Quantum Computing
  • High Energy Physics
  • Condensed Matter Theory

Background:

  • Quantum simulations of lattice gauge theories are hindered by hardware noise.
  • Quantum error mitigation strategies aim to reduce uncertainties in quantum computations.

Purpose of the Study:

  • To investigate the effectiveness of various quantum error mitigation techniques.
  • To study the interplay between different error mitigation methods in quantum simulations.

Main Methods:

  • Simulated Z_{2} gauge theory with matter on a quantum computer.
  • Applied readout error mitigation, randomized compiling, rescaling, and dynamical decoupling.
  • Computed Minkowski correlation functions and extracted the lightest spin-1 state mass.

Main Results:

  • Quantum error mitigation extended the accurate calculation time range by a factor of 6.
  • Demonstrated the efficacy of combining multiple error mitigation techniques.
  • Successfully extracted the mass of the lightest spin-1 state.

Conclusions:

  • Quantum error mitigation is crucial for reliable quantum simulations of confining gauge theories.
  • These techniques significantly improve the accuracy and extend the utility of current noisy quantum hardware.
  • The study provides a pathway for more precise quantum simulations in fundamental physics.