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

Random Error01:04

Random Error

848
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
848
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

193
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
193
Random Sampling Method01:09

Random Sampling Method

11.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.0K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

656
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...
656
Random Variables01:09

Random Variables

11.4K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
11.4K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

73.5K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
73.5K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

LinkLlama: Enabling Large Language Model for Chemically Reasonable Linker Design.

bioRxiv : the preprint server for biology·2026
Same author

Localized quasiparticles in a fluxonium with quasi-two-dimensional amorphous kinetic inductors.

Nature communications·2026
Same author

Alignment and packaging of a 1D-array of optical transition edge sensors to an optical fiber array.

Optics express·2025
Same author

A Metrological Near-Room-Temperature Photon-Number-Resolving Detector: A Design Study.

Sensors (Basel, Switzerland)·2025
Same author

A Liquid-Core Fiber Platform for Classical and Entangled Two-Photon Absorption Measurements.

ACS photonics·2025
Same author

Kinetic inductance current sensor for visible to near-infrared wavelength transition-edge sensor readout.

Communications engineering·2024
Same journal

Six ways to put the public at the heart of science and policy.

Nature·2026
Same journal

The complex truth about trust in science.

Nature·2026
Same journal

Have people stopped trusting science? The data tell a surprising story.

Nature·2026
Same journal

How FAIR data are helping to build trust in science.

Nature·2026
Same journal

Scientists should recognize their own political biases to build public trust.

Nature·2026
Same journal

Harmonizing standards and resources for the medical genome.

Nature·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Jun 13, 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

496

Números aleatorios trazables de una ventaja cuántica no local

Gautam A Kavuri1,2, Jasper Palfree3,4, Dileep V Reddy3,4

  • 1Department of Physics, University of Colorado, Boulder, CO, USA. gautam.kavuri@colorado.edu.

Nature
|June 11, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio introduce un nuevo generador de números aleatorios cuánticos que es totalmente rastreable y certificable. Asegura la generación de números aleatorios impredecibles para mejorar la seguridad digital y la distribución de recursos.

Más Videos Relacionados

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

14.5K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

Videos de Experimentos Relacionados

Last Updated: Jun 13, 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

496
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

14.5K
Gradient Echo Quantum Memory in Warm Atomic Vapor
10:00

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

12.8K

Área de la Ciencia:

  • Ciencia de la información cuántica
  • Criptografía
  • Ciencias de la computación

Sus antecedentes:

  • Los números aleatorios impredecibles son cruciales para la seguridad digital y la asignación justa de recursos.
  • Los generadores de números aleatorios (GNR) actuales tienen limitaciones en la trazabilidad, la auditabilidad y la certificación de la imprevisibilidad.
  • Los GNR algorítmicos son auditables, pero no pueden garantizar la imprevisibilidad a priori, mientras que los GNR cuánticos independientes del dispositivo tienen pasos de extracción vulnerables.

Objetivo del estudio:

  • Para demostrar un protocolo de generación de números aleatorios totalmente rastreable.
  • Abordar las limitaciones de los GNR existentes garantizando una imprevisibilidad auditable y certificable.
  • Para establecer una señal de aleatoriedad cuántica pública, rastreable y certificable.

Principales métodos:

  • Desarrolló un protocolo basado en técnicas cuánticas independientes del dispositivo.
  • Extrajo aleatoriedad de las correlaciones cuánticas no locales impredecibles.
  • Utilizó cadenas de hash entrelazadas distribuidas para el rastreo criptográfico y la verificación de la extracción aleatoria.

Principales resultados:

  • Se ha demostrado con éxito un protocolo de generación de números aleatorios totalmente trazable y certificable.
  • Lanzó una baliza pública de aleatoriedad cuántica logrando una tasa de éxito del 99.7% durante 40 días.
  • Emitió 512 bits de aleatoriedad trazable por ejecución exitosa del protocolo, certificado como uniforme con una probabilidad de error limitada (2^-64).

Conclusiones:

  • El protocolo proporciona un servicio público para generar aleatoriedad certificable y trazable.
  • Este enfoque cuántico ofrece una ventaja derivada del entrelazamiento sobre los métodos clásicos para la generación segura de aleatoriedad.
  • El método desarrollado mejora la fiabilidad y la seguridad de la generación de números aleatorios para aplicaciones críticas.