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

Network Function of a Circuit01:25

Network Function of a Circuit

255
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
255
Network Covalent Solids02:18

Network Covalent Solids

13.3K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
13.3K
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

41.9K
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.
41.9K
Norton's Theorem01:14

Norton's Theorem

510
Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the...
510
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

530
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
530
Quantum Numbers02:43

Quantum Numbers

34.2K
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.
34.2K

You might also read

Related Articles

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

Sort by
Same author

Ethernet Passive Mutual Authentication Scheme on Quantum Networks.

Entropy (Basel, Switzerland)·2025
Same author

An MLWE-Based Cut-and-Choose Oblivious Transfer Protocol.

Entropy (Basel, Switzerland)·2024
Same author

A k-mer-based pangenome approach for cataloging seed-storage-protein genes in wheat to facilitate genotype-to-phenotype prediction and improvement of end-use quality.

Molecular plant·2024
Same author

Privacy-Preserving Decision-Tree Evaluation with Low Complexity for Communication.

Sensors (Basel, Switzerland)·2023
Same author

Efficacy and safety of glibenclamide therapy after intracerebral haemorrhage (GATE-ICH): A multicentre, prospective, randomised, controlled, open-label, blinded-endpoint, phase 2 clinical trial.

EClinicalMedicine·2022
Same author

Efficient Lattice-Based Ring Signature Scheme without Trapdoors for Machine Learning.

Computational intelligence and neuroscience·2022
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: May 31, 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

480

Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks.

Yongli Tang1, Menghao Guo2, Binyong Li3

  • 1School of Software, Henan Polytechnic University, Jiaozuo 454000, China.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new (t,n)-threshold quantum homomorphic encryption (TQHE) network scheme. It enables multiple quantum evaluators to collaboratively compute on encrypted quantum data, enhancing flexibility and security.

Keywords:
Shamir secret sharingquantum computationquantum computing cloud platformthreshold quantum homomorphic encryption

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

8.9K
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

9.5K

Related Experiment Videos

Last Updated: May 31, 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

480
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

8.9K
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

9.5K

Area of Science:

  • Quantum Computing
  • Cryptography
  • Network Security

Background:

  • Current quantum homomorphic encryption (QHE) schemes typically involve a single evaluator with limited quantum computational capabilities.
  • This limitation restricts the flexibility and applicability of QHE in complex quantum network environments.

Purpose of the Study:

  • To propose a novel (t,n)-threshold quantum homomorphic encryption (TQHE) network scheme.
  • To enable collaborative computation on encrypted quantum data by multiple evaluators.
  • To enhance the flexibility and security of quantum computations in network settings.

Main Methods:

  • The proposed scheme is based on the Shamir secret sharing protocol.
  • It allows k (t≤k≤n) evaluators to collaboratively perform computations on encrypted quantum data.
  • Each evaluator can execute arbitrary single-qubit gate operations assigned by the data owner.

Main Results:

  • A specific (3,5)-threshold TQHE network scheme example is presented.
  • The scheme's correctness and feasibility were demonstrated through simulations on the IBM quantum computing cloud platform.
  • Security analysis confirms the scheme's robustness against various potential attacks.

Conclusions:

  • The developed (t,n)-threshold QHE scheme significantly improves upon existing QHE limitations.
  • The collaborative computation model enhances the flexibility and power of quantum network environments.
  • The scheme offers a secure and practical solution for distributed quantum computations on encrypted data.