Video Experimental Relacionado
Updated: Sep 10, 2025

09:23
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
14.6K
Control de modo deslizante basado en la medida de entrelazamiento para la preparación del estado cuántico
IEEE transactions on cybernetics
|August 25, 2025
Resumen
Este estudio introduce un nuevo marco de control cuántico para generar diversos estados entrelazados sin objetivos fijos. El método crea de manera flexible varios estados entrelazados bipartitos y multipartitos, incluidos los estados de entrelazado máximo (MES).
Área de la Ciencia:
- Ciencia de la información cuántica
- Teoría del control cuántico
Sus antecedentes:
- El entrelazamiento cuántico es crucial para el procesamiento de información cuántica (QIP).
- Los métodos de control cuántico actuales a menudo requieren estados objetivo predefinidos, lo que limita la flexibilidad para diversas estructuras de entrelazamiento.
Objetivo del estudio:
- Desarrollar un marco de control cuántico flexible para generar una amplia gama de estados entrelazados.
- Para permitir la creación de estados entrelazados sin especificar un estado objetivo fijo.
Principales métodos:
- Se introdujo un marco de control de modo deslizante (SMC) que utiliza una medida de entrelazamiento como superficie deslizante.
- Se ajustó el nivel de entrelazamiento deseado para generar varios estados, incluidos los estados bipartito/multipartito y puro/mezclado.
- Establecido la estabilidad de Lyapunov para el sistema de control.
Principales resultados:
- Generó con éxito una amplia gama de estados entrelazados, incluidos los estados de entrelazado máximo (MES).
- La ley de control es independiente del número de subsistemas debido a la medida de entrelazamiento con valor escalar.
- Las simulaciones numéricas confirmaron la generación robusta de MES en sistemas bipartitos y multipartitos.
Conclusiones:
- El marco SMC propuesto ofrece un método flexible y robusto para generar diversos estados entrelazados en QIP.
- Este enfoque supera las limitaciones de los métodos de control de objetivo fijo, mejorando la adaptabilidad para sistemas cuánticos complejos.
Videos de Conceptos Relacionados
Atomic Nuclei: Nuclear Spin State Overview
1.1K
NMR-active nuclei have energy levels called 'spin states' that are associated with the orientations of their nuclear magnetic moments. In the absence of a magnetic field, the nuclear magnetic moments are randomly oriented, and the spin states are degenerate. When an external magnetic field is applied, the spin states have only 2 + 1 orientations available to them. A proton with = ½ has two available orientations. Similarly, for a quadrupolar nucleus with a nuclear spin value of...
1.1K
State Space to Transfer Function
302
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
302
Stability of Equilibrium Configuration
523
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
523
State Space Representation
285
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
285
Transfer Function to State Space
403
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
In an...
403
The Quantum-Mechanical Model of an Atom
44.3K
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.
44.3K

