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Quantum mechanical model-based system and method for global optimization

机译:基于量子力学模型的全局优化系统及方法

摘要

A model-based system and method for global optimization that utilizes quantum mechanics in order to approximate the global minimum of a given problem (e.g., mathematical function). A quantum mechanical particle with a sufficiently large mass has a ground state solution to the Schrödinger Equation which is localized to the global minimum of the energy field, or potential, it experiences. A given function is modeled as a potential, and a quantum mechanical particle with a sufficiently large mass is placed in the potential. The ground state of the particle is determined, and the probability density function of the ground state of the particle is calculated. The peak of the probability density function is localized to the global minimum of the potential.
机译:一种用于全局优化的基于模型的系统和方法,该系统和方法利用量子力学来逼近给定问题的全局最小值(例如,数学函数)。质量足够大的量子力学粒子对薛定ding方程具有基态解,该基态解局限于所经历的能量场或势的全局最小值。将给定的函数建模为电势,并将质量足够大的量子力学粒子置于电势中。确定粒子的基态,并计算粒子的基态的概率密度函数。概率密度函数的峰值位于电位的全局最小值。

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