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

The de Broglie Wavelength02:32

The de Broglie Wavelength

33.0K
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...
33.0K
Trends in Lattice Energy: Ion Size and Charge02:54

Trends in Lattice Energy: Ion Size and Charge

26.5K
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:
26.5K
Atomic Nuclei: Types of Nuclear Relaxation01:28

Atomic Nuclei: Types of Nuclear Relaxation

927
Nuclear relaxation restores the equilibrium population imbalance and can occur via spin–lattice or spin–spin mechanisms, which are first-order exponential decay processes.
In spin–lattice or longitudinal relaxation, the excited spins exchange energy with the surrounding lattice as they return to the lower energy level. Among several mechanisms that contribute to spin–lattice relaxation, magnetic dipolar interactions are significant. Here, the excited nucleus transfers...
927
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

5.3K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
5.3K
Fermi Level Dynamics01:12

Fermi Level Dynamics

655
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...
655
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

2.2K
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...
2.2K

You might also read

Related Articles

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

Sort by
Same author

The relationship between high-sensitivity C-reactive protein levels and asthma in middle-aged and elderly Chinese population: a cross-sectional study based on China Health and Retirement Longitudinal Study (CHARLS).

The Journal of asthma : official journal of the Association for the Care of Asthma·2026
Same author

Predicting Open Quantum Dynamics with Data-Informed Quantum-Classical Dynamics.

Physical review letters·2026
Same author

Brain radiotherapy combined with immune checkpoint inhibitors and chemotherapy as first-line treatment for advanced non-small cell lung cancer with brain metastases: a retrospective study.

BMC immunology·2026
Same author

A multi-branch feature enhancement-based detection and hierarchical chaotic encryption fusion method for sensitive targets in remote sensing images.

Scientific reports·2025
Same author

Periodic disturbance suppression of UAV-mounted ISP via adaptive generalized high-order ESO.

The Review of scientific instruments·2025
Same author

The effect of a subclinical dose of esketamine on depression and pain after cesarean section: A prospective, randomized, double-blinded controlled trial.

Medicine·2024
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

Related Experiment Video

Updated: Jan 18, 2026

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

9.6K

Exponential Quantum Speedup for Simulating Classical Lattice Dynamics.

Xiantao Li1

  • 1The Pennsylvania State University, University Park, Pennsylvania 16802, USA.

Physical Review Letters
|September 10, 2025
PubMed
Summary
This summary is machine-generated.

We developed a quantum algorithm for simulating large-scale lattice dynamics, offering exponential speedup for materials science. This method efficiently models mechanical and thermal properties using quantum devices.

More Related Videos

ScanLag: High-throughput Quantification of Colony Growth and Lag Time
07:47

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

16.8K
Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

6.0K

Related Experiment Videos

Last Updated: Jan 18, 2026

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

9.6K
ScanLag: High-throughput Quantification of Colony Growth and Lag Time
07:47

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

16.8K
Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

6.0K

Area of Science:

  • Condensed matter physics
  • Materials science
  • Quantum computing

Background:

  • Simulating large-scale lattice dynamics is crucial for understanding material properties.
  • Coupled vibrational modes govern mechanical and thermal behaviors.
  • Current methods face challenges with increasing system size (N).

Purpose of the Study:

  • To introduce a novel quantum algorithm for simulating general harmonic lattice dynamics.
  • To leverage quantum devices for efficient Hamiltonian simulation.
  • To achieve exponential speedup in lattice dynamics calculations.

Main Methods:

  • Reformulating lattice dynamics as a time-dependent Schrödinger equation.
  • Utilizing sparse, Hermitian Hamiltonian operators for quantum simulation.
  • Employing matrix-valued Fejér-Riesz factorization for efficient Hamiltonian assembly.

Main Results:

  • The quantum algorithm enables exponential speedup with respect to the number of atoms (N).
  • The method is applicable to arbitrary harmonic lattices with vector-valued dynamics.
  • Demonstrated applicability across a broad class of lattice models.

Conclusions:

  • The proposed quantum algorithm offers a significant advancement in simulating large-scale lattice dynamics.
  • This approach paves the way for more accurate predictions of material properties.
  • Quantum computation provides a powerful tool for tackling complex condensed matter problems.