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

Effects of feedback01:24

Effects of feedback

698
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
698
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

1.1K
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...
1.1K
Feedback Loops01:01

Feedback Loops

58.5K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
58.5K
Feedback control systems01:26

Feedback control systems

416
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
416
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

882
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...
882
Positive and Negative Feedback Loops01:18

Positive and Negative Feedback Loops

20.1K
Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:
20.1K

You might also read

Related Articles

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

Sort by
Same author

Enhancement of type H vessels in bone repair of rat tibial defects treated with stromal vascular fraction-collagen sponge composites.

Biomedical materials (Bristol, England)·2026
Same author

Correction: MTA1 promotes metastasis of MPM via suppression of E-cadherin.

Journal of experimental & clinical cancer research : CR·2026
Same author

Adipocyte-derived CRAMP-neutrophil serine protease interaction axis regulates innate cutaneous defense against Staphylococcus aureus.

Scientific reports·2026
Same author

Vitamin D regulates lipid metabolism in granulosa cells via the FABP3-associated PI3K/Akt pathway in polycystic ovary syndrome.

International immunopharmacology·2026
Same author

Integrated RNA-seq and sQTL analysis reveal immune and splicing regulatory features underlying relapse and remission after treatment of Graves' disease.

Frontiers in endocrinology·2026
Same author

Efficacy of once-weekly teriparatide versus alendronate in Chinese postmenopausal osteoporosis: a randomised, open-label, active-controlled, 48-week, multicentre phase III study.

Journal of orthopaedic translation·2026
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 10, 2025

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

657

Adaptive Feedback Compensation Algorithm for Quantum Random Number Generators.

Wei Deng1,2,3, Kun Chen1,2,3, Fei Hua1,2,3

  • 1Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an Adaptive Feedback Compensation Algorithm (AFCA) to improve Quantum Random Number Generators (QRNGs). AFCA enhances randomness and compatibility, significantly boosting QRNG performance for secure quantum cryptography.

Keywords:
adaptive feedback compensationdynamic parameter adjustmentpost-processingquantum random number generator

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
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.9K

Related Experiment Videos

Last Updated: Sep 10, 2025

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

657
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
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.9K

Area of Science:

  • Quantum Information Science
  • Cryptography
  • Applied Physics

Background:

  • Quantum Random Number Generators (QRNGs) are crucial for quantum cryptography.
  • Existing QRNGs face challenges with randomness enhancement and post-processing compatibility.

Purpose of the Study:

  • To propose an Adaptive Feedback Compensation Algorithm (AFCA) for QRNGs.
  • To address limitations in randomness enhancement and algorithm compatibility.
  • To improve the security of quantum communication systems.

Main Methods:

  • Developed an Adaptive Feedback Compensation Algorithm (AFCA).
  • Implemented dynamic parameter feedback and selective encryption.
  • Utilized real-time statistical deviation analysis for nonlinear transformation adjustment.

Main Results:

  • AFCA retains over 50% of original bits while correcting imbalances.
  • Monobit Test p-value for continuous QRNGs improved from 0.1376 to 0.9743.
  • 0/1 distribution deviation in discrete QRNGs reduced from 7.9% to 0.5%.

Conclusions:

  • AFCA significantly enhances QRNG randomness and post-processing compatibility.
  • The algorithm reduces data discard rates by over 55% compared to traditional methods.
  • AFCA offers a robust solution for high-security quantum communication and multi-layered encryption.