excitation probability

简明释义

激发概率

英英释义

例句

1.The study focused on the excitation probability 激发概率 of surface plasmons in metallic nanostructures.

该研究集中于金属纳米结构中表面等离激元的excitation probability 激发概率。

2.The researchers calculated the excitation probability 激发概率 of the atoms in the laser field.

研究人员计算了激光场中原子的excitation probability 激发概率。

3.A higher excitation probability 激发概率 can lead to more intense fluorescence in certain materials.

较高的excitation probability 激发概率可以导致某些材料中更强的荧光。

4.In quantum mechanics, the excitation probability 激发概率 helps determine the likelihood of an electron moving to a higher energy state.

在量子力学中，excitation probability 激发概率 有助于确定电子跃迁到更高能级的可能性。

5.The team used simulations to predict the excitation probability 激发概率 of different molecular configurations.

团队使用模拟来预测不同分子构型的excitation probability 激发概率。

作文

In the realm of quantum mechanics, one of the fundamental concepts that scientists often encounter is the notion of excitation probability. This term refers to the likelihood that a system, such as an atom or a molecule, will transition from a lower energy state to a higher energy state when subjected to an external influence, such as electromagnetic radiation. Understanding excitation probability is crucial for various applications in fields like spectroscopy, photonics, and quantum computing.To grasp the significance of excitation probability, it is essential to consider how particles behave at the quantum level. At this scale, particles do not follow the classical laws of physics; instead, they exhibit wave-particle duality and can exist in superposition states. When an atom absorbs energy, it can become excited, meaning that one of its electrons moves to a higher energy level. The excitation probability quantifies how likely this transition is to occur under specific conditions.The factors influencing excitation probability include the energy of the incoming photons, the nature of the atomic or molecular structure, and the interaction time. For instance, if the energy of the photon matches the energy difference between two electronic states of an atom, the excitation probability increases significantly. This principle is the foundation of techniques such as laser-induced fluorescence, where specific wavelengths of light are used to excite atoms or molecules, allowing scientists to study their properties.Moreover, excitation probability plays a vital role in understanding chemical reactions. When reactants collide, the excitation probability can determine whether a reaction will proceed. If the energy transferred during the collision is sufficient to excite the reactants, they may form an activated complex that leads to products. Thus, controlling excitation probability can enhance reaction rates and yields in various chemical processes.In the context of quantum computing, excitation probability is integral to the operation of qubits, the basic units of quantum information. Qubits can exist in multiple states simultaneously due to superposition, and their manipulation often involves exciting them to different energy levels. Understanding the excitation probability helps researchers design more efficient quantum algorithms and improve the fidelity of quantum gates, which are essential for performing calculations in quantum computers.Furthermore, advancements in technology have allowed scientists to measure excitation probability with great precision. Techniques such as time-resolved spectroscopy enable researchers to observe how systems respond to external stimuli over time, providing valuable insights into the dynamics of excited states. By analyzing the data collected, scientists can refine their understanding of excitation probability and its implications for various physical phenomena.In summary, the concept of excitation probability is a cornerstone of modern physics and chemistry. It provides a quantitative framework for predicting how systems respond to energy inputs and has far-reaching implications in many scientific disciplines. From elucidating the behavior of atoms in a gas to optimizing chemical reactions and advancing quantum computing, excitation probability remains a critical area of study that continues to evolve as our understanding of the quantum world deepens. As researchers push the boundaries of knowledge, the exploration of excitation probability will undoubtedly lead to new discoveries and technological innovations that can transform our understanding of the universe.

在量子力学的领域中，科学家们经常遇到的基本概念之一是激发概率的概念。这个术语指的是当一个系统，如原子或分子，受到外部影响（如电磁辐射）时，从较低能量状态过渡到较高能量状态的可能性。理解激发概率对于光谱学、光子学和量子计算等多个应用领域至关重要。要理解激发概率的重要性，有必要考虑粒子在量子层面的行为。在这个尺度上，粒子不遵循经典物理定律；相反，它们表现出波粒二象性，并可以存在于叠加态。当一个原子吸收能量时，它可能会变得激发，这意味着它的一个电子移动到更高的能量水平。激发概率量化了在特定条件下这一转变发生的可能性。影响激发概率的因素包括入射光子的能量、原子或分子结构的性质以及相互作用时间。例如，如果光子的能量与原子两个电子状态之间的能量差相匹配，则激发概率显著增加。这一原理是激光诱导荧光等技术的基础，其中使用特定波长的光激发原子或分子，从而使科学家能够研究其性质。此外，激发概率在理解化学反应中也发挥着至关重要的作用。当反应物碰撞时，激发概率可以决定反应是否进行。如果在碰撞过程中转移的能量足以激发反应物，它们可能形成一个活化复合体，从而导致产品的生成。因此，控制激发概率可以提高各种化学过程中的反应速率和产率。在量子计算的背景下，激发概率是量子信息的基本单元——量子比特（qubit）操作的核心。量子比特可以由于叠加而同时存在于多种状态中，而它们的操控通常涉及将它们激发到不同的能量水平。理解激发概率有助于研究人员设计更高效的量子算法，并提高量子门的保真度，这对在量子计算机中执行计算至关重要。此外，技术的进步使科学家能够精确测量激发概率。时间分辨光谱等技术使研究人员能够观察系统如何随时间响应外部刺激，从而提供对激发态动态的宝贵见解。通过分析收集的数据，科学家可以细化对激发概率及其对各种物理现象影响的理解。总之，激发概率的概念是现代物理和化学的基石。它为预测系统如何响应能量输入提供了定量框架，并在许多科学学科中具有深远的影响。从阐明气体中原子的行为到优化化学反应，再到推动量子计算，激发概率仍然是一个关键的研究领域，随着我们对量子世界理解的加深而不断发展。随着研究人员推动知识的边界，对激发概率的探索无疑将导致新的发现和技术创新，改变我们对宇宙的理解。