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相关概念视频

Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

3.2K
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.
3.2K
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

5.3K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
5.3K
Reversible and Irreversible Processes01:14

Reversible and Irreversible Processes

5.5K
The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
5.5K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

23.9K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
23.9K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.4K
3.4K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.9K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.9K

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相关实验视频

Updated: Jan 10, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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对于不可逆转的马尔科夫链的量子加速.

Baptiste Claudon1,2,3, Jean-Philip Piquemal4,5, Pierre Monmarché6,7,8,9

  • 1Advanced Research Department, Qubit Pharmaceuticals, Paris, France. baptiste.claudon@qubit-pharmaceuticals.com.

Nature communications
|November 28, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了量子算法来加速不可逆的马尔科夫链,为可逆链提供了比以前的二次增长更快的指数加速度. 这些量子计算的进步有望在各种科学和金融领域产生重大影响.

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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Gradient Echo Quantum Memory in Warm Atomic Vapor
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Gradient Echo Quantum Memory in Warm Atomic Vapor

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相关实验视频

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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Gradient Echo Quantum Memory in Warm Atomic Vapor
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科学领域:

  • 量子计算是一种量子计算.
  • 计算数学 计算数学 计算数学
  • 统计建模 统计建模

背景情况:

  • 经典计算在解决复杂问题方面面临局限性.
  • 量子算法为特定的计算任务提供了潜在的加速度.
  • 以前的研究集中在可逆马尔科夫链的量子加速上.

研究的目的:

  • 开发量子算法技术来加速不可逆转的马尔科夫链过程.
  • 为了提高计算效率,构建马尔科夫链可逆化.
  • 探索量子加速超出二次加速度的不可逆转过程.

主要方法:

  • 开发新的量子算法技术.
  • 马尔科夫链逆稳定性的构建.
  • 对不可逆转过程的量子加速进行分析.

主要成果:

  • 为不可逆的马尔科夫链实现了指数级的量子加速度.
  • 证明了超出可逆链所预测的二次加速度的加速.
  • 建立了可逆性马尔科夫链的可逆化方法.

结论:

  • 量子计算可以显著加速不可逆转的马尔科夫链过程.
  • 开发的技术比古典方法提供了实质性的改进.
  • 在统计学,机器学习和科学建模方面具有广泛应用的潜力.