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arXiv 2103.06463quant-ph
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量子行走可幺正表示有限图上的随机行走

Quantum Walks can Unitarily Represent Random Walks on Finite Graphs

Matheus G. Andrade, Franklin de Lima Marquezino, Daniel R. Figueiredo

AI总结:

该研究提出反向构造方法,证明有限图上任意随机行走的顶点分布可由幺正时变量子行走匹配,揭示量子行走不收敛源于时间齐次性与幺正性共同作用,并展示其在环与环面均匀随机行走模拟中的应用。

摘要:

量子行走与随机行走已被证明在如下意义上等价:我们可以构造一类时变随机行走,使其在所有时刻的顶点分布与有限图上任意离散时间带币量子行走的顶点分布完全一致。这种等价性在两种过程之间建立了远比“将量子行走视为经典随机行走的量子对应物”更深刻的关联。本研究通过提供一种反向建立该等价性的构造方法,进一步强化了这一关联:我们可以构造一类幺正时变量子行走,使其顶点分布在所有时刻与有限图上任意随机行走的顶点分布完全一致。\n本文给出的构造描述了一种无需在每一步进行测量(否则该结论将变得平凡)即可匹配随机行走的量子行走:测量在以幺正方式演化至给定时间$t$的量子行走中执行,此时其顶点分布与随机行走在时刻$t$的分布完全一致。该构造过程具有普适性,同时覆盖齐次与非齐次随机行走。对于齐次随机行走而言,幺正演化意味着量子行走具有时变性,因为齐次量子行走在任意初始条件下都不会收敛,而一大类随机行走则具备收敛性。因此,量子行走在其首次提出时被证明的不收敛性,同时源于时间齐次性与幺正性,而非仅由幺正性导致;我们的研究结果揭示了量子行走为任意概率分布生成样本的能力。最后,本文提出的构造方法被用于模拟匹配环面与环上均匀随机行走的量子行走。

英文摘要:

Quantum and random walks have been shown to be equivalent in the following sense: a time-dependent random walk can be constructed such that its vertex distribution at all time instants is identical to the vertex distribution of any discrete-time coined quantum walk on a finite graph. This equivalence establishes a deep connection between the two processes, far stronger than simply considering quantum walks as quantum analogues of classical random walks. The present work strengthens this connection by providing a construction that establishes this equivalence in the reverse direction: a unitary time-dependent quantum walk can be constructed such that its vertex distribution is identical to the vertex distribution of any random walk on a finite graph at all time instants. The construction shown here describes a quantum walk that matches a random walk without measurements at all time steps (an otherwise trivial statement): measurement is performed in a quantum walk that evolved unitarily until a given time $t$ such that its vertex distribution is identical to the random walk at time $t$. The construction procedure is general, covering both homogeneous and non-homogeneous random walks. For homogeneous random walks, unitary evolution implies time dependency for the quantum walk, since homogeneous quantum walks do not converge under arbitrary initial conditions, while a broad class of random walks does. Thus, the absence of convergence demonstrated for quantum walks in its debut comes from both time-homogeneity and unitarity, rather than unitarity alone, and our results shed light on the power of quantum walks to generate samples for arbitrary probability distributions. Finally, the construction here proposed is used to simulate quantum walks that match uniform random walks on the cycle and the torus.

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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