Jove
Visualize
Contact Us

Related Concept Videos

Random and Systematic Errors01:20

Random and Systematic Errors

14.1K
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...
14.1K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

98.5K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
98.5K
The Uncertainty Principle04:08

The Uncertainty Principle

30.2K
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...
30.2K
Entropy02:39

Entropy

34.0K
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...
34.0K
Atomic Nuclei: Nuclear Relaxation Processes01:23

Atomic Nuclei: Nuclear Relaxation Processes

937
In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis,  the precessing magnetic moments are randomly oriented around the z-axis.
937
Random Error01:04

Random Error

6.2K
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...
6.2K

You might also read

Related Articles

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

Sort by
Same author

Metastable dynamical computing with energy landscapes: A primer.

Chaos (Woodbury, N.Y.)·2026
Same author

Way More than the Sum of Their Parts: From Statistical to Structural Mixtures.

Entropy (Basel, Switzerland)·2026
Same author

Unsupervised discovery of extreme weather events using universal representations of emergent organization.

Chaos (Woodbury, N.Y.)·2025
Same author

Intrinsic and Measured Information in Separable Quantum Processes.

Entropy (Basel, Switzerland)·2025
Same author

Controlled erasure as a building block for universal thermodynamically robust superconducting computing.

Chaos (Woodbury, N.Y.)·2025
Same author

Inferring kernel ϵ-machines: Discovering structure in complex systems.

Chaos (Woodbury, N.Y.)·2025
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 Video

Updated: Nov 29, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.4K

Measurement-induced randomness and structure in controlled qubit processes.

Ariadna E Venegas-Li1, Alexandra M Jurgens1, James P Crutchfield1

  • 1Complexity Sciences Center and Physics Department, University of California at Davis, One Shields Avenue, Davis, California 95616, USA.

Physical Review. E
|November 20, 2020
PubMed
Summary

Quantum measurements of qubits create complex classical stochastic processes. Nonorthogonality in quantum states drives this complexity, leading to inherent randomness and infinite memory requirements for prediction.

More Related Videos

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.7K
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

14.8K

Related Experiment Videos

Last Updated: Nov 29, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.4K
Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
12:19

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

Published on: April 4, 2017

8.7K
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

14.8K

Area of Science:

  • Quantum Information Science
  • Statistical Mechanics
  • Computational Complexity

Background:

  • Experimental measurement of quantum systems yields classical data.
  • Understanding the complexity of these classical processes is crucial for quantum information processing.

Purpose of the Study:

  • To demonstrate that projective measurement of qubits generates complex classical stochastic processes.
  • To identify the quantum mechanical origin of this complexity.
  • To develop methods for quantifying and estimating this complexity.

Main Methods:

  • Analysis of time series data from measured qubits.
  • Characterization of classical stochastic processes using Shannon entropy rate and statistical complexity.
  • Investigation of quantum state nonorthogonality as the underlying mechanism.
  • Development of quantitative complexity measures and estimation algorithms.

Main Results:

  • Projective measurement of qubits results in classical stochastic processes with finite Shannon entropy rate (randomness) and divergent statistical complexity (infinite memory requirement).
  • Quantum state nonorthogonality is identified as the key factor driving these complexities.
  • The choice of measurement influences the randomness and structure of the observed processes.

Conclusions:

  • Quantum measurement inherently introduces significant complexity into classical stochastic processes.
  • Nonorthogonality of quantum states is a fundamental source of randomness and memory requirements in measured qubit time series.
  • Quantitative measures and efficient algorithms are now available for characterizing this measurement-induced complexity.