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

Parallel Processing01:20

Parallel Processing

194
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
194
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.6K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
2.6K
Quantum Numbers02:43

Quantum Numbers

35.0K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
35.0K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.7K
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.
42.7K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

752
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...
752
Multimachine Stability01:25

Multimachine Stability

210
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
210

You might also read

Related Articles

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

Sort by
Same author

Composable free-space continuous-variable quantum key distribution using discrete modulation.

Science advances·2026
Same author

Commitment Schemes from OWFs with Applications to Quantum Oblivious Transfer.

Entropy (Basel, Switzerland)·2025
Same author

Practical continuous-variable quantum key distribution with composable security.

Nature communications·2022
Same author

Continuous-variable protocol for oblivious transfer in the noisy-storage model.

Nature communications·2018
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: Aug 9, 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

626

On the Security of Offloading Post-Processing for Quantum Key Distribution.

Thomas Lorünser1, Stephan Krenn1, Christoph Pacher1,2

  • 1AIT Austrian Institute of Technology, Giefinggasse 4, 1210 Vienna, Austria.

Entropy (Basel, Switzerland)
|February 25, 2023
PubMed
Summary
This summary is machine-generated.

Researchers explored secure offloading of quantum key distribution (QKD) post-processing to untrusted hardware. This study shows how error correction can be securely offloaded for discrete-variable QKD, enhancing scalability and device efficiency.

Keywords:
information reconciliationpost-processingprivacy amplificationquantum key distributionsecure offloadingsecure outsourcing

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.7K

Related Experiment Videos

Last Updated: Aug 9, 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

626
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
05:39

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

9.7K

Area of Science:

  • Quantum Information Science
  • Cryptography
  • Computer Engineering

Background:

  • Quantum key distribution (QKD) is nearing commercialization but faces scalability challenges due to computationally intensive post-processing.
  • Current QKD devices are complex and power-hungry, limiting their application scope.
  • Physical limitations and computational demands hinder widespread QKD deployment.

Purpose of the Study:

  • To investigate the secure offloading of computationally intensive QKD post-processing tasks to untrusted hardware.
  • To analyze the feasibility of using multi-server protocols for enhanced error correction and privacy amplification.
  • To explore methods for reducing cost and certification efforts for QKD device manufacturers.

Main Methods:

  • Securely offloading error correction for discrete-variable QKD to a single untrusted server.
  • Analyzing the limitations of this method for long-distance continuous-variable QKD.
  • Investigating multi-server protocols for error correction and privacy amplification in QKD.

Main Results:

  • Demonstrated secure offloading of error correction for discrete-variable QKD.
  • Identified that the proposed method is not suitable for long-distance continuous-variable QKD.
  • Analyzed the potential of multi-server protocols for advanced QKD security features.
  • Showcased the benefits of delegating computation to on-device untrusted hardware.

Conclusions:

  • Secure offloading of QKD post-processing is feasible for discrete-variable systems, addressing scalability and efficiency issues.
  • Continuous-variable QKD presents different challenges for secure offloading.
  • Delegating computation, even to on-device untrusted components, can significantly improve QKD device manufacturing and certification.