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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.8K
Adiabatic Processes for an Ideal Gas01:18

Adiabatic Processes for an Ideal Gas

3.4K
When an ideal gas is compressed adiabatically, that is, without adding heat, work is done on it, and its temperature increases. In an adiabatic expansion, the gas does work, and its temperature drops. Adiabatic compressions actually occur in the cylinders of a car, where the compressions of the gas-air mixture take place so quickly that there is no time for the mixture to exchange heat with its environment. Nevertheless, because work is done on the mixture during the compression, its...
3.4K
Bernoulli's Equation: Problem Solving01:16

Bernoulli's Equation: Problem Solving

1.5K
A Venturi meter is essential for measuring fluid flow rates in pipelines. It utilizes the relationship between fluid velocity and pressure described by Bernoulli's equation. When installed in a sewage system, the Venturi meter accurately determines the wastewater flow rate by measuring pressure differences.
The first step is to compute the cross-sectional areas of the pipe and the Venturi throat to analyze the pressure difference indicated by the pressure gauge. Next, the continuity...
1.5K
Work Done in an Adiabatic Process01:20

Work Done in an Adiabatic Process

3.6K
Consider the adiabatic compression of an ideal gas in the cylinder of an automobile diesel engine. The gasoline vapor is injected into the cylinder of an automobile engine when the piston is in its expanded position. The temperature, pressure, and volume of the resulting gas-air mixture are 20 °C, 1.00 x 105 N/m2, and 240 cm3 , respectively. The mixture is then compressed adiabatically to a volume of 40 cm3. Note that, in the actual operation of an automobile engine, the compression is not...
3.6K
Pressure and Volume in an Adiabatic Process01:27

Pressure and Volume in an Adiabatic Process

3.0K
Free expansion of a gas is an adiabatic process. However, there are few differences between free expansion and adiabatic expansion. During free expansion, no work is done, and there is no change in internal energy. But, for an adiabatic expansion, work is done, and there is a change in internal energy. During an adiabatic process, the relation between the pressure and volume is obtained from the condition for the adiabatic process, that is, 
3.0K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

817
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...
817

You might also read

Related Articles

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

Sort by
Same author

Low-energy physics and finite-size effects in nonuniform parafermion chains.

Scientific reports·2025
Same author

Nematicity-enhanced superconductivity in systems with a non-Fermi liquid behavior.

Journal of physics. Condensed matter : an Institute of Physics journal·2023
Same author

Chiral Ising Gross-Neveu Criticality of a Single Dirac Cone: A Quantum Monte Carlo Study.

Physical review letters·2022
Same author

Numerical observation of emergent spacetime supersymmetry at quantum criticality.

Science advances·2018
Same author

Topological quantum computation based on chiral Majorana fermions.

Proceedings of the National Academy of Sciences of the United States of America·2018
Same author

Binomial Spin Glass.

Physical review letters·2018

Related Experiment Video

Updated: Oct 11, 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

731

Amelioration for the Sign Problem: An Adiabatic Quantum Monte Carlo Algorithm.

Mohammad-Sadegh Vaezi1, Amir-Reza Negari2, Amin Moharramipour2

  • 1Pasargad Institute for Advanced Innovative Solutions (PIAIS), Tehran 19916-33361, Iran.

Physical Review Letters
|December 3, 2021
PubMed
Summary
This summary is machine-generated.

We introduce the adiabatic quantum Monte Carlo (AQMC) method to overcome the sign problem in quantum systems. This controlled approximation provides an upper bound for ground-state energy and enhances the average sign exponentially.

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.3K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.8K

Related Experiment Videos

Last Updated: Oct 11, 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

731
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.3K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.8K

Area of Science:

  • Quantum Many-Body Physics
  • Computational Physics

Background:

  • The sign problem in quantum Monte Carlo (QMC) methods hinders the accurate simulation of many fermionic systems.
  • Existing QMC methods face limitations in accessing low temperatures and probing ground-state properties due to the sign problem.

Purpose of the Study:

  • Introduce the adiabatic quantum Monte Carlo (AQMC) method to ameliorate the sign problem.
  • Develop a controlled approximation that satisfies the variational theorem and provides an upper bound for ground-state energy.

Main Methods:

  • Gradually increase interaction strength, inspired by the adiabatic theorem.
  • AQMC algorithm enhances the average sign exponentially, enabling access to lower temperatures.
  • Benchmarking against sign-problem-free QMC and density-matrix-renormalization-group (DMRG) for validation.

Main Results:

  • AQMC demonstrates exponential enhancement of the average sign, allowing for probing of ground-state properties.
  • Validated against the Hubbard model on a square lattice and a doped four-leg ladder Hubbard model.
  • Applied to a 16x8 Hubbard model at p=1/8 doping, revealing ground-state properties.

Conclusions:

  • AQMC is a powerful, controlled approximation for strongly correlated systems.
  • The method successfully demonstrates the emergence of U(1)_2∼SU(2)_1 topological order in a Chern insulator.
  • AQMC offers a viable path to study complex quantum phenomena previously inaccessible due to the sign problem.