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广义伯克霍夫多胞体图上的量子游走

Quantum Walk on the Generalized Birkhoff Polytope Graph.

作者信息

Cação Rafael, Cortez Lucas, de Farias Ismael, Kozyreff Ernee, Khatibi Moqadam Jalil, Portugal Renato

机构信息

Department of Industrial, Manufacturing & Systems Engineering, Texas Tech University, Lubbock, TX 79430, USA.

Campus of Itapeva, Universidade Estadual Paulista (Unesp), Itapeva 18409-010, SP, Brazil.

出版信息

Entropy (Basel). 2021 Sep 23;23(10):1239. doi: 10.3390/e23101239.

DOI:10.3390/e23101239
PMID:34681963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8534586/
Abstract

We study discrete-time quantum walks on generalized Birkhoff polytope graphs (GBPGs), which arise in the solution-set to certain transportation linear programming problems (TLPs). It is known that quantum walks mix at most quadratically faster than random walks on cycles, two-dimensional lattices, hypercubes, and bounded-degree graphs. In contrast, our numerical results show that it is possible to achieve a greater than quadratic quantum speedup for the mixing time on a subclass of GBPG (TLP with two consumers and suppliers). We analyze two types of initial states. If the walker starts on a single node, the quantum mixing time does not depend on , even though the graph diameter increases with it. To the best of our knowledge, this is the first example of its kind. If the walker is initially spread over a maximal clique, the quantum mixing time is O(m/ϵ), where is the threshold used in the mixing times. This result is better than the classical mixing time, which is O(m1.5/ϵ).

摘要

我们研究广义伯克霍夫多胞体图(GBPGs)上的离散时间量子游走,这些图出现在某些运输线性规划问题(TLPs)的解集之中。已知在循环图、二维晶格、超立方体和有界度图上,量子游走的混合速度最多比随机游走快二次方倍。相比之下,我们的数值结果表明,对于GBPG的一个子类(具有两个消费者和供应商的TLP),有可能在混合时间上实现大于二次方的量子加速。我们分析了两种类型的初始状态。如果游走者从单个节点开始,量子混合时间不依赖于 ,尽管图的直径会随着它增大。据我们所知,这是此类的首个例子。如果游走者最初分布在一个最大团上,量子混合时间为O(m/ϵ),其中 是混合时间中使用的阈值。这个结果优于经典混合时间O(m1.5/ϵ)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/f3845cad6b2a/entropy-23-01239-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/118c1fc6e4f4/entropy-23-01239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/88865352cb97/entropy-23-01239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/ed41ac8fc033/entropy-23-01239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/d4d216f34fe6/entropy-23-01239-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/7f7fba80b6c4/entropy-23-01239-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/6cd0cd9e5436/entropy-23-01239-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/f3845cad6b2a/entropy-23-01239-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/118c1fc6e4f4/entropy-23-01239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/88865352cb97/entropy-23-01239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/ed41ac8fc033/entropy-23-01239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/d4d216f34fe6/entropy-23-01239-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/7f7fba80b6c4/entropy-23-01239-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/6cd0cd9e5436/entropy-23-01239-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c324/8534586/f3845cad6b2a/entropy-23-01239-g007.jpg

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本文引用的文献

1
Strong Quantum Computational Advantage Using a Superconducting Quantum Processor.利用超导量子处理器实现强大的量子计算优势。
Phys Rev Lett. 2021 Oct 29;127(18):180501. doi: 10.1103/PhysRevLett.127.180501.
2
How Fast Do Quantum Walks Mix?量子游走的混合速度有多快?
Phys Rev Lett. 2020 Feb 7;124(5):050501. doi: 10.1103/PhysRevLett.124.050501.
3
Quantum supremacy using a programmable superconducting processor.用量子计算优越性使用可编程超导处理器。
Nature. 2019 Oct;574(7779):505-510. doi: 10.1038/s41586-019-1666-5. Epub 2019 Oct 23.