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In many practical and theoretical contexts, the exact value of a definite integral may be inaccessible. This limitation typically arises when the antiderivative of a function is either unknown or cannot be expressed in a closed mathematical form. Alternatively, it can occur when a function is defined not by a formula but by a finite set of empirical data points, such as those collected during experiments. In these cases, approximate integration techniques provide a valuable solution.One of the...
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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.
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Linearization is a mathematical technique used to approximate complex, nonlinear functions with simpler linear models in the vicinity of a chosen reference point. The method is based on the idea that, although a function may be difficult to evaluate exactly, its behavior near a specific input value can often be closely approximated by the tangent line at that point. This approach is particularly useful when small deviations from a known value are involved.Consider the square root function, for...
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A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
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错误减轻启用多元件量子模拟超出了波恩-奥本海默近似.

Delmar G A Cabral1, Brandon Allen1, Fabijan Pavošević2

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概括
此摘要是机器生成的。

本研究提出了一个新的分子系统量子模拟框架,结合了电子和核量子效应. 它在超导硬件上演示了准确,错误减轻的量子模拟,为统一的量子模型铺平了道路.

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科学领域:

  • 量子计算是一种量子计算.
  • 计算化学是一种计算化学.
  • 量子物理学的量子物理学

背景情况:

  • 波恩-奥本海默近似通过将电子运动和核运动分开来简化分子模拟.
  • 准确模拟分子系统需要结合电子和原子核的量子效应.
  • 当前的量子计算硬件为复杂的分子模拟带来了挑战.

研究的目的:

  • 为量子模拟开发一个多组件单元合集群 (mcUCC) 框架.
  • 将电子和核量子效应都包括在波恩-奥本海默近似之外.
  • 为了证明这些模拟在当前量子硬件上的可行性和准确性.

主要方法:

  • 利用核电子轨道形式主义来构建mCUCC的概念.
  • 应用了当地单元集群Jastrow ansatz来降低资源成本.
  • 在IBM Q的Heron超导量子硬件上实现了框架.
  • 采用了以物理为灵感的抽取误差缓解协议.

主要成果:

  • 成功进行了用量子质子对化和分子的mcUCC模拟.
  • 在化学准确性范围内实现了基态能量,证明了误差缓解的有效性.
  • 分析了 mcUCC 中不同激发截断的硬件要求.

结论:

  • 这项工作首次展示了量子硬件上的有误差的多元组件相关模拟.
  • 开发的框架成功地统一了量子模拟中的电子和核自由度.
  • 概述了将量子核效应纳入分子系统的可扩展量子算法的路径.