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

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...

You might also read

Related Articles

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

Sort by
Same author

Continuous-Variable Quantum Key Distribution Based on <i>N</i>-APSK Modulation over Seawater Channel.

Entropy (Basel, Switzerland)·2025
Same author

Defending Against the Homodyne Detector-Blinding Attack on Continuous-Variable Quantum Key Distribution Using an Adjustable Optical Attenuator.

Entropy (Basel, Switzerland)·2025
Same author

Underwater Wavelength Attack on Discrete Modulated Continuous-Variable Quantum Key Distribution.

Entropy (Basel, Switzerland)·2024
Same author

Passive Continuous Variable Measurement-Device-Independent Quantum Key Distribution Predictable with Machine Learning in Oceanic Turbulence.

Entropy (Basel, Switzerland)·2024
Same author

Quantum LDPC Codes Based on Cocyclic Block Matrices.

Entropy (Basel, Switzerland)·2023
Same author

Neural Network-Based Prediction for Secret Key Rate of Underwater Continuous-Variable Quantum Key Distribution through a Seawater Channel.

Entropy (Basel, Switzerland)·2023

Related Experiment Video

Updated: May 28, 2026

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

Continuous-Variable Quantum Secret Sharing Through Microwave-Enabled Turbulent Channels with

Weihan Zhang1, Zhangtao Liang2, Yun Mao3

  • 1School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Entropy (Basel, Switzerland)
|May 26, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new microwave quantum secret sharing (QSS) method for turbulent free-space channels. The system uses adaptive techniques and a measurement-device-independent design for secure, turbulence-resistant quantum communication.

Keywords:
Kolmogorov turbulenceShamir threshold schemecontinuous-variable quantum secret sharingmeasurement-device-independentmicrowaveturbulent channels

More Related Videos

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: May 28, 2026

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

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

Area of Science:

  • Quantum Information Science
  • Free-Space Optical Communications
  • Microwave Engineering

Background:

  • Quantum secret sharing (QSS) has been demonstrated in optical fibers.
  • Extending QSS to microwave frequencies over turbulent channels faces challenges due to signal jitter and decoherence.

Purpose of the Study:

  • To propose a microwave-enabled continuous-variable quantum secret sharing (CVQSS) scheme for turbulent free-space channels.
  • To address the sensitivity of microwave quantum states to environmental turbulence.
  • To develop a turbulence-resistant quantum communication protocol.

Main Methods:

  • Implemented the Shamir threshold scheme for multi-user secret sharing.
  • Utilized adaptive phase compensation and multi-aperture reception techniques.
  • Characterized the noise channel using the Kolmogorov turbulence model.
  • Adopted a measurement-device-independent (MDI) architecture.

Main Results:

  • Numerical simulations confirmed the performance of the proposed microwave continuous-variable measurement-device-independent quantum secret sharing (CV-MDI-QSS) system.
  • Demonstrated the feasibility of deploying the system in complex turbulent channels.
  • The MDI architecture provides immunity to detector-side attacks.

Conclusions:

  • The proposed CV-MDI-QSS scheme offers a robust solution for secure quantum communication in harsh, turbulent free-space environments.
  • This technology supports the development of dynamic quantum networks utilizing microwave propagation.
  • The protocol effectively mitigates turbulence-induced signal degradation.