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arXiv 2302.01962quant-ph
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开放玻色子系统与随机微分方程之间的对应关系

Correspondence between open bosonic systems and stochastic differential equations

Alexander Engel, Scott E. Parker

AI总结:

本文证明有限数量玻色子系统与环境相互作用时与随机微分方程存在精确对应关系,该数学基础可用于设计求解随机非线性微分方程且复杂度随系统大小对数多项式增长的量子算法。

摘要:

只要满足 $n \gg 1$,玻色平均场理论就可以近似 $n$ 个玻色子系统的动力学。我们表明,当玻色子系统被推广以包含与环境的相互作用,并且平均场理论被随机微分方程取代时,在有限 $n$ 下也可以存在精确的对应关系。当取 $n \to \infty$ 极限时,该微分方程中的随机项消失,从而恢复平均场理论。除了有助于深入理解有限量子系统行为与其由 $n \to \infty$ 给出的经典极限之间的差异外,所发展的数学还可为求解某些随机非线性微分方程的量子算法提供基础。我们讨论了这些量子算法效率的条件,重点关注复杂性可能随随机系统大小的对数呈多项式增长的可能性。本文更详细地分析了具有随机离散非线性 Schrödinger 方程形式的特定系统。

英文摘要:

Bosonic mean-field theories can approximate the dynamics of systems of $n$ bosons provided that $n \gg 1$. We show that there can also be an exact correspondence at finite $n$ when the bosonic system is generalized to include interactions with the environment and the mean-field theory is replaced by a stochastic differential equation. When the $n \to \infty$ limit is taken, the stochastic terms in this differential equation vanish, and a mean-field theory is recovered. Besides providing insight into the differences between the behavior of finite quantum systems and their classical limits given by $n \to \infty$, the developed mathematics can provide a basis for quantum algorithms that solve some stochastic nonlinear differential equations. We discuss conditions on the efficiency of these quantum algorithms, with a focus on the possibility for the complexity to be polynomial in the log of the stochastic system size. A particular system with the form of a stochastic discrete nonlinear Schrödinger equation is analyzed in more detail.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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