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

Probability Laws01:49

Probability Laws

41.2K
Overview
41.2K
Probability in Statistics01:14

Probability in Statistics

14.3K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
14.3K
The Uncertainty Principle04:08

The Uncertainty Principle

23.6K
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...
23.6K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

793
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...
793
Probability Distributions01:32

Probability Distributions

7.8K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.8K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.8K
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.
42.8K

You might also read

Related Articles

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

Sort by
Same author

Indistinguishability and Negative Probabilities.

Entropy (Basel, Switzerland)·2020
See all related articles

Related Experiment Video

Updated: Aug 20, 2025

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

14.6K

Non-Kolmogorovian Probabilities and Quantum Technologies.

Federico Hernán Holik1

  • 1Instituto de Física La Plata, CONICET-UNLP, Diagonal 113 e/63 y 64, La Plata 1900, Argentina.

Entropy (Basel, Switzerland)
|November 24, 2022
PubMed
Summary

This study explores the philosophical and technical challenges of non-Kolmogorovian probability, linking it to quantum contextuality and potential quantum computing speed-ups. We use this framework to conceptually analyze quantum theory problems.

Keywords:
non-Kolmogorovian probabilityphilosophy of quantum physicsquantum technologies

More Related Videos

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

9.1K
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

636

Related Experiment Videos

Last Updated: Aug 20, 2025

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

14.6K
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

9.1K
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

636

Area of Science:

  • Foundations of Quantum Mechanics
  • Probability Theory
  • Quantum Information Science

Background:

  • Quantum contextuality is a key feature of quantum theory, potentially linked to quantum computing advantages.
  • The axiomatization of non-Kolmogorovian probability presents significant philosophical and technical challenges.
  • Existing research primarily focuses on the physics aspects, leaving philosophical questions underexplored.

Purpose of the Study:

  • To investigate the philosophical underpinnings of non-Kolmogorovian probability.
  • To explore the technical challenges in axiomatizing this probability framework.
  • To connect the non-Kolmogorovian approach to the problem of quantum contextuality and its implications.

Main Methods:

  • Conceptual analysis of foundational issues in quantum probability.
  • Application of the non-Kolmogorovian probability framework as a technical tool.
  • Examination of the relationship between quantum contextuality and probability axiomatization.

Main Results:

  • Identified key philosophical questions surrounding non-Kolmogorovian probability.
  • Demonstrated the utility of the non-Kolmogorovian approach for analyzing quantum contextuality.
  • Highlighted the technical difficulties in formally axiomatizing the non-Kolmogorovian framework.

Conclusions:

  • The non-Kolmogorovian probability framework offers valuable insights into quantum contextuality.
  • Further philosophical and technical work is needed to fully axiomatize non-Kolmogorovian probability.
  • Understanding quantum contextuality may require moving beyond standard Kolmogorovian probability.