Jove
Visualize
Contact Us

Related Concept Videos

Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
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...
Entropy02:39

Entropy

Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
Entropy01:18

Entropy

The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
Reaction Quotient02:35

Reaction Quotient

The status of a reversible reaction is conveniently assessed by evaluating its reaction quotient (Q). For a reversible reaction described by m A + n B ⇌ x C + y D, the reaction quotient is derived directly from the stoichiometry of the balanced equation as

You might also read

Related Articles

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

Sort by
Same author

Quantum supremacy using a programmable superconducting processor.

Nature·2019
Same author

Barren plateaus in quantum neural network training landscapes.

Nature communications·2018
Same author

Quantum Annealing via Environment-Mediated Quantum Diffusion.

Physical review letters·2017
Same author

Understanding Quantum Tunneling through Quantum Monte Carlo Simulations.

Physical review letters·2016
Same author

Zero-temperature quantum annealing bottlenecks in the spin-glass phase.

Nature communications·2016
Same author

Determination and correction of persistent biases in quantum annealers.

Scientific reports·2016
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 Videos

Statistical mechanics of the quantum K -satisfiability problem.

Sergey Knysh1, Vadim N Smelyanskiy

  • 1ELORET Corporation, NASA Ames Research Center, MS 229-1, Moffett Field, California 94035-1000, USA. Sergey.I.Knysh@nasa.gov

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 5, 2009
PubMed
Summary

Quantum fluctuations in the random K-satisfiability problem, even with small transverse fields, destroy the classical phase transition. This crossover transition impacts quantum optimization algorithm performance.

Related Experiment Videos

Area of Science:

  • Statistical mechanics
  • Quantum computing
  • Computational complexity

Background:

  • The random K-satisfiability problem is a fundamental problem in computational complexity.
  • Understanding its quantum version is crucial for evaluating quantum optimization algorithms.
  • Previous studies focused on the classical limit (zero transverse field).

Purpose of the Study:

  • To investigate the quantum K-satisfiability problem under a transverse magnetic field.
  • To analyze the impact of quantum fluctuations on phase transitions.
  • To assess implications for quantum optimization algorithms like adiabatic evolution.

Main Methods:

  • Derivation of the replica-symmetric free-energy functional using a static approximation.
  • Analysis of the saddle-point equation for the order parameter (distribution of magnetizations).
  • Numerical solution of self-consistency equations via a quasi-Monte Carlo method for K=3.

Main Results:

  • Quantum fluctuations, even for small transverse fields (Gamma), introduce relevant magnetizations near zero.
  • The distinct phase transition at zero temperature in the classical limit is replaced by a smooth crossover.
  • The replica-symmetric solution for the classical problem predicts a continuous phase transition with atypical critical exponents.

Conclusions:

  • Quantum effects fundamentally alter the phase transition landscape of the random K-satisfiability problem.
  • The presence of a transverse field leads to a crossover rather than a sharp phase transition.
  • These findings have significant implications for the efficiency and scalability of quantum optimization algorithms.