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Reaction Quotient02:35

Reaction Quotient

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The status of a reversible reaction is conveniently assessed by evaluating its reaction quotient (Q). For a reversible reaction described by m A + n B ⇌ x C + y D, the reaction quotient is derived directly from the stoichiometry of the balanced equation as
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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Distributed Loads: Problem Solving01:21

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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...
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Reinforcement01:23

Reinforcement

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Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
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Reinforcement Schedules01:24

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Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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QRBT: Aprendizaje por Refuerzo Impulsado por Cuántica para el Procesamiento Escalable de Transacciones Blockchain

Kranthi Kumar Lella1, Shiva Rama Krishna Mallu2

  • 1Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.

PloS one
|February 19, 2026
PubMed
Resumen
Este resumen es generado por máquina.

El Aprendizaje por Refuerzo Impulsado por Cuántica (QRBT) mejora el procesamiento de transacciones blockchain al reducir la latencia hasta en un 91% y mejorar la seguridad contra ataques cuánticos. Este marco novedoso ofrece una solución escalable y energéticamente eficiente para futuros sistemas blockchain.

Palabras clave:
blockchainaprendizaje por refuerzocomputación cuánticaseguridadescalabilidadbaja latenciatransaccionescriptografíaQRBT

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Área de la Ciencia:

  • Computación Cuántica; Inteligencia Artificial; Tecnología Blockchain

Sus antecedentes:

  • El procesamiento de transacciones blockchain enfrenta desafíos significativos en escalabilidad, latencia y seguridad cuántica.
  • Las soluciones existentes luchan por equilibrar un alto rendimiento con una sólida resiliencia criptográfica contra las amenazas cuánticas emergentes.

Objetivo del estudio:

  • Introducir QRBT (Quantum Driven Reinforcement Learning), un marco diseñado para superar los problemas de escalabilidad y latencia de blockchain y al mismo tiempo garantizar la seguridad cuántica.
  • Aprovechar la computación cuántica y el aprendizaje por refuerzo para mejorar el consenso y la validación de transacciones.

Principales métodos:

  • QRBT utiliza una arquitectura de cuatro niveles: computación cuántica, aprendizaje por refuerzo, seguridad blockchain y procesamiento de transacciones.
  • Integra circuitos cuánticos variacionales y Distribución Cuántica de Claves (QKD) con un paradigma de aprendizaje por refuerzo actor-crítico.
  • La codificación de estados mejorada cuánticamente y el refinamiento de circuitos impulsan la optimización adaptativa de políticas.

Principales resultados:

  • Latencia de transacciones reducida hasta en un 91,264%, seguridad criptográfica mejorada hasta en un 96,152% y rendimiento mejorado en un 92,635%.
  • El consumo de energía del consenso se minimizó y la convergencia del aprendizaje por refuerzo se estabilizó de manera eficiente, superando a los métodos de referencia.
  • QRBT demostró un alto rendimiento, seguridad y eficiencia energética simultáneos contra ataques cuánticos.

Conclusiones:

  • El aprendizaje por refuerzo asistido por cuántica presenta un enfoque escalable y seguro para los sistemas blockchain de próxima generación.
  • QRBT aborda eficazmente los desafíos críticos del rendimiento de blockchain y la resistencia a adversarios cuánticos.