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

151
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...
151
Multimachine Stability01:25

Multimachine Stability

153
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:
153
Fermi Level Dynamics01:12

Fermi Level Dynamics

246
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
246
Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

1.5K
A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic...
1.5K
Distributed Loads01:19

Distributed Loads

537
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
537
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

645
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
645

You might also read

Related Articles

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

Sort by
Same author

Spontaneous Raman scattering in SDM fibers.

Optics letters·2026
Same author

A Systematic Review of Kernel-Level Security Mechanisms, Vulnerability Detection and Mitigation in Modern Operating Systems.

Sensors (Basel, Switzerland)·2026
Same author

Radiation hardness properties and DCR reduction via laser annealing of InGaAs/InP SPADs for space applications.

Optics express·2025
Same author

Transient ligand contacts of the intrinsically disordered N-terminus of neuropeptide Y<sub>2</sub> receptor regulate arrestin-3 recruitment.

Nature communications·2025
Same author

Integration of quantum key distribution and high-throughput classical communications in field-deployed multi-core fibers.

Light, science & applications·2025
Same author

Experimental direct quantum communication with squeezed states.

Optics express·2025
Same journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 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

551

Practical high-dimensional quantum key distribution protocol over deployed multicore fiber.

Mujtaba Zahidy1, Domenico Ribezzo2,3,4, Claudia De Lazzari5

  • 1Department of Electrical and Photonics Engineering, Technical University of Denmark, Ørsteds Pl., Kgs. Lyngby, 2800, Denmark.

Nature Communications
|February 23, 2024
PubMed
Summary
This summary is machine-generated.

High-dimensional quantum key distribution (QKD) using a 4-dimensional hybrid time-path encoding system achieved secure key generation over a 52-km multicore fiber link. This demonstrates robust QKD implementation in realistic environments using standard telecom equipment.

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

9.0K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.8K

Related Experiment Videos

Last Updated: Jul 2, 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

551
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

9.0K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.8K

Area of Science:

  • Quantum Information Science
  • Cybersecurity
  • Optical Communications

Background:

  • Quantum key distribution (QKD) offers secure communication based on quantum physics.
  • Increasing data rates necessitate higher secret key generation rates in QKD systems.
  • High-dimensional QKD (HD-QKD) using path encoding is a promising approach to boost performance.

Purpose of the Study:

  • To demonstrate the feasibility of high-dimensional QKD in a realistic, deployed network environment.
  • To address the lack of practical demonstrations for HD-QKD systems beyond lab settings.
  • To investigate the performance of a 4-dimensional hybrid time-path-encoded QKD system over optical fiber.

Main Methods:

  • Implemented a 4-dimensional hybrid time-path-encoded QKD system.
  • Utilized a 52-km deployed multicore fiber link (two cores of a 26-km 4-core fiber).
  • Combined standard telecommunication equipment with multicore fiber technology.

Main Results:

  • Successfully generated secret keys using the 4-dimensional hybrid time-path-encoded QKD system.
  • Demonstrated robust QKD performance over the 52-km deployed multicore fiber link.
  • Validated the integration of standard telecom equipment with multicore fiber for practical QKD.

Conclusions:

  • High-dimensional QKD can be robustly implemented in realistic network conditions.
  • The combination of standard telecom equipment and multicore fiber technology is viable for practical QKD.
  • This work paves the way for secure, high-rate quantum communication in deployed fiber networks.