Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

41.7K
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.
41.7K
Multimachine Stability01:25

Multimachine Stability

128
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:
128
Quantum Numbers02:43

Quantum Numbers

34.1K
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.
34.1K
Control Systems: Applications01:25

Control Systems: Applications

540
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
540
Network Function of a Circuit01:25

Network Function of a Circuit

251
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.
251
First Order Systems01:21

First Order Systems

80
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
80

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Unconditionally teleported quantum gates between remote solid-state qubit registers.

Nature communications·2026
Same author

Long-distance quantum link generates entanglement faster than it is lost.

Nature·2026
Same author

Challenges and opportunities for quantum information hardware.

Science (New York, N.Y.)·2025
Same author

Spin-photon correlations from a Purcell-enhanced diamond nitrogen-vacancy center coupled to an open microcavity.

Nature communications·2025
Same author

Synthetic Mimotopes of Salivary Peptides against SARS-CoV-2 In Vitro.

Journal of dental research·2025
Same author

Check-probe spectroscopy of lifetime-limited emitters in bulk-grown silicon carbide.

NPJ quantum information·2025
Same journal

Inside the new political screening that's stalling NIH grants.

Nature·2026
Same journal

Europe's record heatwave: does the continent have a new climate?

Nature·2026
Same journal

Daily briefing: Humans and great apes giggle in the same rhythms.

Nature·2026
Same journal

The surprising career parallels between footballers and researchers.

Nature·2026
Same journal

I study World Cup penalty shoot-outs: they say a lot about the psychology of performance under pressure.

Nature·2026
Same journal

CRISPR's next act: the companies editing the epigenome to treat disease.

Nature·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: May 22, 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

472

Un sistema operativo para ejecutar aplicaciones en nodos de red cuántica

C Delle Donne1,2,3, M Iuliano1,2, B van der Vecht1,2,3

  • 1QuTech, Delft University of Technology, Delft, The Netherlands.

Nature
|March 13, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Los investigadores desarrollaron un nuevo sistema operativo de red cuántica (QNodeOS) para aplicaciones independientes de la plataforma. Esta innovación permite la multitarea y maximiza el uso de hardware cuántico, allanando el camino para la integración de redes cuánticas sociales.

Más Videos Relacionados

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
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

Videos de Experimentos Relacionados

Last Updated: May 22, 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

472
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
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

Área de la Ciencia:

  • Las redes cuánticas
  • Ciencias de la computación
  • Ciencias de la información cuántica

Sus antecedentes:

  • Las aplicaciones actuales de redes cuánticas se basan en software especializado de una sola tarea vinculado a configuraciones experimentales específicas.
  • Este enfoque requiere una profunda experiencia en física experimental y limita la flexibilidad y la escalabilidad.
  • Existe la necesidad de una arquitectura de software estandarizada y de alto nivel para aplicaciones de red cuántica.

Objetivo del estudio:

  • Diseñar e implementar una arquitectura de software de alto nivel independiente de la plataforma para ejecutar aplicaciones de red cuántica.
  • Para demostrar la capacidad de la arquitectura a través de un nuevo sistema operativo de red cuántica, QNodeOS.
  • Mostrar la flexibilidad del sistema al permitir la multitarea y la compatibilidad con diversas plataformas de procesadores cuánticos.

Principales métodos:

  • Desarrolló QNodeOS, un sistema operativo de red cuántica, como el núcleo de la nueva arquitectura.
  • Implementado y probado QNodeOS en dos nodos de red cuántica utilizando centros de vacío de nitrógeno (NV) en diamante.
  • Demostró una aplicación de computación delegada entre un nodo cliente y servidor.
  • Desarrolló un controlador adicional para QNodeOS para admitir un nodo de red cuántica de iones atrapados (átomo único de 40Ca +).

Principales resultados:

  • Se ha demostrado con éxito la ejecución de aplicaciones de red cuántica utilizando software de alto nivel (QNodeOS).
  • Mostró la capacidad de realizar múltiples tareas en diferentes aplicaciones en el mismo hardware de red cuántica, maximizando la utilización de recursos.
  • Demostró la independencia de la plataforma de la arquitectura al ejecutar con éxito QNodeOS en nodos cuánticos NV-center y de iones atrapados.

Conclusiones:

  • La arquitectura desarrollada y QNodeOS proporcionan un marco fundamental para la programación de redes cuánticas.
  • Este sistema permite el uso eficiente del hardware cuántico y soporta diversas plataformas de procesadores cuánticos.
  • La investigación allana el camino para el desarrollo de software para integrar la tecnología de red cuántica en la sociedad.