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

Quantum Numbers02:43

Quantum Numbers

50.1K
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.
50.1K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

57.3K
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.
57.3K
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.4K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.4K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.0K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.0K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
The Mean Value Theorem01:26

The Mean Value Theorem

55
The Mean Value Theorem establishes a fundamental connection between the overall change in a quantity and its change at a specific instant. It formalizes the idea that average change over an interval must be reflected by instantaneous change at some point within that interval. When a function behaves smoothly across a range, the theorem guarantees that this connection always exists.This relationship is captured mathematically by the Mean Value Theorem, as stated below.The meaning of this result...
55

You might also read

Related Articles

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

Sort by
Same author

Quantum thermodynamics of Gross-Pitaevskii qubits.

Physical review. E·2026
Same author

Editorial: DSNP Dissertation Award 2025 - Pushing the limits of active metamaterials.

Physical review. E·2026
Same author

Fluctuation theorems for autonomous work.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Editorial: Statistical and Nonlinear Physics Crosses a Threshold.

Physical review. E·2025
Same author

Approaching the scaling limit of transport through lattices with dephasing.

The Journal of chemical physics·2025
Same author

Endoreversible Stirling Cycles: Plasma Engines at Maximal Power.

Entropy (Basel, Switzerland)·2025
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K

Quantum fluctuation theorem for error diagnostics in quantum annealers.

Bartłomiej Gardas1,2,3, Sebastian Deffner4

  • 1Theoretical Division, LANL, Los Alamos, New Mexico, 87545, USA. bartek.gardas@gmail.com.

Scientific Reports
|November 23, 2018
PubMed
Summary
This summary is machine-generated.

We propose using the quantum fluctuation theorem to benchmark quantum annealers, detecting errors and noise. Experiments on D-Wave machines validate this method for assessing quantum computation accuracy.

More Related Videos

Production and Targeting of Monovalent Quantum Dots
10:16

Production and Targeting of Monovalent Quantum Dots

Published on: October 23, 2014

26.1K
Compact Quantum Dots for Single-molecule Imaging
17:14

Compact Quantum Dots for Single-molecule Imaging

Published on: October 9, 2012

18.7K

Related Experiment Videos

Last Updated: Feb 2, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

13.2K
Production and Targeting of Monovalent Quantum Dots
10:16

Production and Targeting of Monovalent Quantum Dots

Published on: October 23, 2014

26.1K
Compact Quantum Dots for Single-molecule Imaging
17:14

Compact Quantum Dots for Single-molecule Imaging

Published on: October 9, 2012

18.7K

Area of Science:

  • Quantum Computing
  • Computational Physics

Background:

  • Advancements in quantum hardware necessitate accurate characterization and error minimization.
  • Quantum annealers are a key area of development for near-term quantum advantage.

Purpose of the Study:

  • To propose and experimentally validate the quantum fluctuation theorem as a tool for benchmarking quantum annealer accuracy.
  • To assess the sensitivity of the quantum fluctuation theorem to deviations from ideal quantum annealing processes.

Main Methods:

  • Application of the quantum fluctuation theorem to analyze quantum dynamics.
  • Experimental testing on two generations of D-Wave quantum annealing hardware.
  • Verification of the integral fluctuation theorem in a many-body quantum system.

Main Results:

  • The quantum fluctuation theorem effectively benchmarks quantum annealer accuracy, identifying deviations like non-unital, non-unitary, non-adiabatic dynamics, and thermal noise.
  • Experiments demonstrated the theorem's sensitivity to minor aberrations in the annealing process.
  • First experimental verification of the integral fluctuation theorem in an interacting, many-body quantum system was achieved.

Conclusions:

  • The quantum fluctuation theorem is a versatile and sensitive tool for characterizing quantum annealers.
  • This work provides crucial insights into the fidelity of current quantum annealing hardware.
  • Experimental validation paves the way for improved quantum error mitigation strategies.