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 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
The de Broglie Wavelength02:32

The de Broglie Wavelength

25.9K
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...
25.9K
Quantum Numbers02:43

Quantum Numbers

34.8K
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.
34.8K
Fermi Level Dynamics01:12

Fermi Level Dynamics

252
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...
252
Equilibrium Conditions for a Particle01:23

Equilibrium Conditions for a Particle

1.1K
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...
1.1K
The Uncertainty Principle04:08

The Uncertainty Principle

23.4K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
23.4K

You might also read

Related Articles

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

Sort by
Same author

A molecule with half-Möbius topology.

Science (New York, N.Y.)·2026
Same author

Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors.

Physical chemistry chemical physics : PCCP·2026
Same author

Improving the Runtime of Quantum Phase Estimation for Chemistry through Basis Set Optimization.

Journal of chemical theory and computation·2025
Same author

A general framework for active space embedding methods with applications in quantum computing.

npj computational materials·2024
Same author

Hardware-tailored diagonalization circuits.

NPJ quantum information·2024
Same author

Nonadiabatic Molecular Dynamics with Fermionic Subspace-Expansion Algorithms on Quantum Computers.

Journal of chemical theory and computation·2024
Same journal

Gaining biological insights through supervised data visualization.

Nature computational science·2026
Same journal

The inequalities of GPU access.

Nature computational science·2026
Same journal

Social technologies need societal alignment.

Nature computational science·2026
Same journal

The Quantum Optimization Benchmarking Library.

Nature computational science·2026
Same journal

Setting benchmarks for practical quantum utility of combinatorial optimization.

Nature computational science·2026
Same journal

Evidence of scaling advantage on an NP-complete problem with enhanced quantum solvers.

Nature computational science·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2025

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

577

Quantum algorithms for quantum dynamics.

Alexander Miessen1, Pauline J Ollitrault1,2, Francesco Tacchino1

  • 1IBM Quantum, IBM Research - Zurich, Rüschlikon, Switzerland.

Nature Computational Science
|January 4, 2024
PubMed
Summary
This summary is machine-generated.

Quantum algorithms offer powerful solutions for complex quantum dynamics simulations. This perspective reviews the latest developments, applications, and future research directions in quantum computing for quantum systems.

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

14.5K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.9K

Related Experiment Videos

Last Updated: Jul 6, 2025

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

577
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

14.5K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.9K

Area of Science:

  • Quantum computing
  • Computational physics
  • Quantum mechanics

Background:

  • Quantum-mechanical systems present significant computational challenges.
  • Quantum technologies are rapidly advancing.
  • Simulating quantum dynamics is crucial across scientific disciplines.

Purpose of the Study:

  • To discuss quantum algorithmic solutions for quantum dynamics.
  • To report on the latest developments in this field.
  • To provide a viewpoint on the potential and limitations of these solutions.

Main Methods:

  • Review of quantum algorithmic approaches.
  • Analysis of recent advancements in quantum dynamics simulations.
  • Exploration of potential applications.

Main Results:

  • Identification of promising quantum algorithmic solutions.
  • Assessment of current capabilities and limitations.
  • Overview of key application areas.

Conclusions:

  • Quantum algorithms show significant promise for tackling quantum dynamics.
  • Further research is needed to overcome current limitations.
  • Future directions include exploring new algorithms and applications.