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

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution using...
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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. Schrödinger...
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
Reaction Mechanisms: Rate-limiting Step Approximation01:29

Reaction Mechanisms: Rate-limiting Step Approximation

The rate-determining step, or RDS, in a chemical reaction is the slowest step that determines the overall reaction rate. It is identified by using the observed rate law and typically involves approximation methods like the RDS approximation or the steady-state approximation.In the RDS approximation, also known as the rate-limiting-step or equilibrium approximation, the reaction mechanism consists of one or more reversible reactions near equilibrium, followed by a slower RDS, and then one or...
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

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...

You might also read

Related Articles

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

Sort by
Same author

Quantum Simulation with Sum-of-Squares Spectral Amplification.

Physical review letters·2026
Same author

Shadow hamiltonian simulation.

Nature communications·2025
Same author

The Cost of Improving the Precision of the Variational Quantum Eigensolver for Quantum Chemistry.

Nanomaterials (Basel, Switzerland)·2022
Same author

Easing the Monte Carlo sign problem.

Science advances·2020
Same author

Quantum Chemistry in the Age of Quantum Computing.

Chemical reviews·2019
Same author

Novel Technique for Robust Optimal Algorithmic Cooling.

Physical review letters·2019
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: May 18, 2026

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

Quantum speedup by quantum annealing.

Rolando D Somma1, Daniel Nagaj, Mária Kieferová

  • 1Los Alamos National Laboratory, New Mexico 87545, USA.

Physical Review Letters
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient quantum annealing schedule for the glued-trees problem, solving oracular problems exponentially faster than classical methods. The approach avoids common quantum computing issues like the sign problem and small energy gaps.

Related Experiment Videos

Last Updated: May 18, 2026

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

Area of Science:

  • Quantum Computing
  • Theoretical Computer Science

Background:

  • The glued-trees problem is a known computational challenge.
  • Adiabatic quantum computing offers a potential pathway for solving complex problems.
  • Traditional quantum annealing methods can face challenges like the sign problem and small energy gaps.

Purpose of the Study:

  • To investigate the glued-trees problem within the adiabatic model of quantum computing.
  • To develop an efficient quantum annealing schedule for solving an oracular problem.
  • To address limitations of current adiabatic quantum computing approaches.

Main Methods:

  • Utilizing the adiabatic model of quantum computing.
  • Developing a specific annealing schedule for the glued-trees problem.
  • Employing initial-state randomization to mitigate slowdowns.

Main Results:

  • An efficient annealing schedule was provided for the glued-trees problem.
  • The proposed method solves an oracular problem exponentially faster than classical algorithms.
  • The quantum annealing Hamiltonians do not exhibit the sign problem.
  • The schedule's efficiency is maintained despite exponentially small minimum energy gaps.

Conclusions:

  • The developed quantum annealing schedule offers a significant speedup for specific oracular problems.
  • The approach demonstrates robustness against small energy gaps, a common bottleneck in adiabatic quantum computing.
  • Generalizations using initial-state randomization show promise for broader applications in quantum computation.