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

42.6K
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.
42.6K
The Pauli Exclusion Principle03:06

The Pauli Exclusion Principle

42.4K
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
42.4K
Quantum Numbers02:43

Quantum Numbers

35.0K
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.
35.0K
Spin–Spin Coupling Constant: Overview01:08

Spin–Spin Coupling Constant: Overview

973
In bromoethane, the three methyl protons are coupled to the two methylene protons that are three bonds away. In accordance with the n+1 rule, the signal from the methyl protons is split into three peaks with 1:2:1 relative intensities. The methylene protons appear as a quartet, with the relative intensities of 1:3:3:1.
Qualitatively, any spin plus-half nucleus polarizes the spins of its electrons to the minus-half state. Consequently, the paired electron in the hydrogen–carbon bond must...
973
Atomic Nuclei: Nuclear Spin State Overview01:03

Atomic Nuclei: Nuclear Spin State Overview

1.0K
NMR-active nuclei have energy levels called 'spin states' that are associated with the orientations of their nuclear magnetic moments. In the absence of a magnetic field, the nuclear magnetic moments are randomly oriented, and the spin states are degenerate. When an external magnetic field is applied, the spin states have only 2 + 1 orientations available to them. A proton with = ½ has two available orientations. Similarly, for a quadrupolar nucleus with a nuclear spin value of...
1.0K
The Energies of Atomic Orbitals03:21

The Energies of Atomic Orbitals

24.2K
In an atom, the negatively charged electrons are attracted to the positively charged nucleus. In a multielectron atom, electron-electron repulsions are also observed. The attractive and repulsive forces are dependent on the distance between the particles, as well as the sign and magnitude of the charges on the individual particles. When the charges on the particles are opposite, they attract each other. If both particles have the same charge, they repel each other.
24.2K

You might also read

Related Articles

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

Sort by
Same author

Entanglement routing via passive optics in CV-networks.

EPJ quantum technology·2026
Same author

Complexity of quantum tomography from genuine non-Gaussian entanglement.

Nature communications·2025
Same author

Effective descriptions of bosonic systems can be considered complete.

Nature communications·2025
Same author

Role of Coherence for Quantum Computational Advantage.

Physical review letters·2025
Same author

Optimal Moment-Based Characterization of a Gaussian State.

Physical review letters·2025
Same author

Quantum machine learning with Adaptive Boson Sampling via post-selection.

Nature communications·2025
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: Aug 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

618

Resources for Bosonic Quantum Computational Advantage.

Ulysse Chabaud1,2, Mattia Walschaers3

  • 1DIENS, École normale supérieure, PSL University, CNRS, INRIA, 45 rue d'Ulm, Paris 75005, France.

Physical Review Letters
|March 17, 2023
PubMed
Summary
This summary is machine-generated.

Researchers have developed a classical algorithm to simulate bosonic quantum computations. This breakthrough clarifies the interplay of quantum resources like squeezing and entanglement for quantum advantage.

More Related Videos

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
14:58

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

14.8K
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

9.7K

Related Experiment Videos

Last Updated: Aug 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

618
Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
14:58

Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping

Published on: June 3, 2015

14.8K
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

9.7K

Area of Science:

  • Quantum Information Science
  • Computational Physics
  • Quantum Computing

Background:

  • Quantum computers offer potential for significant computational speedups over classical computers.
  • Identifying the specific quantum resources responsible for this advantage, such as entanglement and non-Gaussianity, remains a complex challenge.
  • Understanding the interplay of these resources is crucial for developing and verifying quantum computational power.

Purpose of the Study:

  • To recast any bosonic quantum computation into a continuous-variable sampling problem.
  • To derive a general classical algorithm for simulating bosonic quantum computations.
  • To clarify the role of various quantum resources in achieving quantum computational advantage.

Main Methods:

  • Reduction of bosonic quantum computation to continuous-variable (CV) sampling.
  • Development of a classical algorithm for strong simulation of CV sampling.
  • Analysis of computational complexity based on the non-Gaussian stellar rank of states and measurements.

Main Results:

  • A general classical algorithm for simulating bosonic quantum computations is derived.
  • The algorithm's complexity scales with the non-Gaussian stellar rank of the input state and measurement setup.
  • An operational definition of non-Gaussian entanglement is introduced, linked to passive separability.

Conclusions:

  • Every bosonic quantum computation can be simulated classically by focusing on the input state's resources.
  • The study clarifies the interplay of squeezing, non-Gaussianity, and entanglement in bosonic quantum computation.
  • Efficient classical simulation is possible under specific conditions related to non-Gaussian entanglement.