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

29.3K
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...
29.3K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.3K
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...
1.3K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.1K
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...
1.1K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.9K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.9K
Entropy02:39

Entropy

32.5K
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...
32.5K
Entropy01:18

Entropy

3.1K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.1K

You might also read

Related Articles

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

Sort by
Same author

Decoherence of quantum local fisher and uncertainty information in two-qubit NV centers.

Scientific reports·2025
Same author

Entanglement and Fisher Information for Atoms-Field System in the Presence of Negative Binomial States.

Entropy (Basel, Switzerland)·2022
Same author

Taiwan axion search experiment with haloscope: Designs and operations.

The Review of scientific instruments·2022
Same author

Quantum Coherence and Total Phase in Semiconductor Microcavities for Multi-Photon Excitation.

Nanomaterials (Basel, Switzerland)·2022
Same author

Optimization of Piezoresistive Strain Sensors Based on Gold Nanoparticle Deposits on PDMS Substrates for Highly Sensitive Human Pulse Sensing.

Nanomaterials (Basel, Switzerland)·2022
Same author

Measurement Uncertainty, Purity, and Entanglement Dynamics of Maximally Entangled Two Qubits Interacting Spatially with Isolated Cavities: Intrinsic Decoherence Effect.

Entropy (Basel, Switzerland)·2022
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Nov 3, 2025

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

8.7K

Tripartite entropic uncertainty relation under phase decoherence.

R A Abdelghany1,2, A-B A Mohamed3,4, M Tammam1

  • 1Physics Department, Faculty of Science, Al-Azhar University, Assiut, 71524, Egypt.

Scientific Reports
|June 5, 2021
PubMed
Summary
This summary is machine-generated.

We formulated a tripartite entropic uncertainty relation for three qubits, showing entanglement reduces measurement uncertainty. Dolatkhah's lower bound proved tighter than Ming's under phase decoherence.

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

8.6K
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.5K

Related Experiment Videos

Last Updated: Nov 3, 2025

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

8.7K
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

8.6K
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.5K

Area of Science:

  • Quantum Information Theory
  • Condensed Matter Physics
  • Quantum Computing

Background:

  • Entropic uncertainty relations (EURs) quantify fundamental limits on measurement precision.
  • Quantum entanglement is a key resource in quantum information processing.
  • Spin chains are fundamental models in condensed matter physics.

Purpose of the Study:

  • To formulate and predict the lower bound of a tripartite entropic uncertainty relation.
  • To investigate the role of entanglement in reducing measurement uncertainty in a three-qubit system.
  • To compare different lower bounds under phase decoherence.

Main Methods:

  • Formulation of a tripartite entropic uncertainty relation for a three-qubit Heisenberg XXZ spin chain.
  • Analysis of measurement on one qubit with two others acting as quantum memories.
  • Comparison of Dolatkhah's and Ming's lower bounds under phase decoherence.

Main Results:

  • Entanglement between nearest neighbors significantly reduces measurement uncertainty.
  • Dolatkhah's lower bound is shown to be tighter than Ming's.
  • The dynamics of these bounds under phase decoherence are dependent on the chosen observable pair.

Conclusions:

  • Nearest-neighbor entanglement is crucial for minimizing uncertainty in quantum measurements.
  • Dolatkhah's lower bound offers a tighter constraint for tripartite uncertainty relations.
  • The choice of observables impacts the robustness of uncertainty bounds against decoherence.