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 Uncertainty Principle04:08

The Uncertainty Principle

Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He mathematically...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random Error01:04

Random Error

Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

You might also read

Related Articles

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

Sort by
Same author

Designing and Exploration of the Biological Potentials of Novel Centrosymmetric Heteroleptic Copper(II) Carboxylates.

Pharmaceuticals (Basel, Switzerland)·2023
Same author

Synthesis, characterization, antioxidant, antileishmanial, anticancer, DNA and theoretical SARS-CoV-2 interaction studies of copper(II) carboxylate complexes.

Journal of molecular structure·2022
Same author

Microwave study of quantum n-disk scattering

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2000
Same author

Dynamical generation of noiseless quantum subsystems

Physical review letters·2000
Same author

Stochastic resonance and nonlinear response using NMR spectroscopy

Physical review letters·2000
Same author

Isospin fractionation in nuclear multifragmentation

Physical review letters·2000

Related Experiment Video

Updated: Jul 24, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Theory of quantum error correction for general noise

Knill1, Laflamme, Viola

  • 1Los Alamos National Laboratory, MS B265, Los Alamos, New Mexico 87545, USA.

Physical Review Letters
|October 6, 2000
PubMed
Summary

This study introduces a new measure for error-correcting codes, applicable to any system, even with complex interactions. These advanced codes protect information without needing independence assumptions, ensuring data integrity.

Area of Science:

  • Quantum Information Science
  • Information Theory
  • Error Correction

Background:

  • Error-correcting codes are crucial for preserving information integrity.
  • Traditional codes rely on assumptions of independent errors, limiting their applicability.
  • A robust measure of code quality is needed for general quantum and classical systems.

Purpose of the Study:

  • To define a generalized notion of error correction applicable to systems with arbitrary interactions.
  • To prove the existence of large-scale error-correcting codes for both quantum and classical information.
  • To establish a connection between error-correcting codes, operator algebras, and noiseless subsystems.

Main Methods:

  • Developed a generalized definition for the "number of errors" (e) that an error-correcting code can handle.

More Related Videos

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

Related Experiment Videos

Last Updated: Jul 24, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
07:56

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

  • Demonstrated the existence of large codes through theoretical proofs.
  • Utilized the framework of operator algebras and irreducible representations to analyze codes as subsystems.
  • Main Results:

    • Introduced a universal measure 'e' for error correction applicable to any system, irrespective of interaction complexity.
    • Proved the existence of substantial quantum and classical error-correcting codes that do not require independence assumptions.
    • Established that noiseless subsystems are equivalent to infinite-distance error-correcting codes.

    Conclusions:

    • The generalized 'e'-error-correcting framework significantly expands the applicability of error correction beyond traditional limitations.
    • The findings pave the way for more robust quantum and classical information processing systems.
    • The connection to operator algebras provides new theoretical insights into the structure and capabilities of error-correcting codes.