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相关概念视频

Random Variables01:09

Random Variables

12.2K
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...
12.2K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.6K
First Law: Particles in Two-dimensional Equilibrium01:18

First Law: Particles in Two-dimensional Equilibrium

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Recall that a particle in equilibrium is one for which the external forces are balanced. Static equilibrium involves objects at rest, and dynamic equilibrium involves objects in motion without acceleration; but it is important to remember that these conditions are relative. For instance, an object may be at rest when viewed from one frame of reference, but that same object would appear to be in motion when viewed by someone moving at a constant velocity.
Newton's first law tells us about...
5.1K
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

401
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
401
Network Covalent Solids02:18

Network Covalent Solids

13.5K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
13.5K
First Law: Particles in One-dimensional Equilibrium01:10

First Law: Particles in One-dimensional Equilibrium

6.9K
Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
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相关实验视频

Updated: Jul 10, 2025

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
09:19

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

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从无序 k 正规随机图形中形成的大连贯状态.

Gregory D Scholes1

  • 1Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.

Entropy (Basel, Switzerland)
|November 24, 2023
PubMed
概括

大量的量子网络可以令人惊地强大. 这项研究表明,即便在图形结构中发生了显著的随机删除后,新出现的量子状态仍然保持稳定,为量子资源开发提供了洞察力.

科学领域:

  • 量子信息科学 量子信息科学
  • 网络理论 网络理论
  • 复杂的系统复杂的系统.

背景情况:

  • 大规模的量子系统通常是脆弱的,这给它们作为量子资源的使用带来了挑战.
  • 经典的新兴现象经常表现出随着系统规模的增加而增加的稳定性.
  • 研究了古典系统为强大的量子网络设计提供信息的潜力.

研究的目的:

  • 研究创建强大,大规模连贯量子态的方法.
  • 确定古典新兴现象的原理是否可以应用于量子网络.
  • 从图形结构中获得的复杂量子态的特征.

主要方法:

  • 将量子位相互作用映射到k-正则随机图的结构上.
  • 分析随机边缘删除对这些图形结构的影响.
  • 调查扩展器属性在基于图形的量子状态强度中的作用.

主要成果:

  • 从k-常规随机图中衍生出的新兴量子连贯状态显示出显著的稳定性.
  • 相当数量的边缘删除被容忍而没有完全失去连贯性.
  • 对于k-正则随机图的扩展器属性似乎对状态弹性至关重要.
关键词:
一致性 连贯性 一致性扩展器图表的图表扩展器量子资源是一种量子资源.

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

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相关实验视频

Last Updated: Jul 10, 2025

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
09:19

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light

Published on: July 29, 2013

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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
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Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

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结论:

  • 复杂的量子状态可以通过基于图形的构造表现出强度.
  • 随机的图形删除,灵感来自于经典的网络分析,可以揭示量子状态中的弹性.
  • 这些发现表明了工程强大的量子资源的新途径.