Exponential speedups for quantum walks in random hierarchical graphs

Fuente: arXiv
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Main Authors: Balasubramanian, Shankar, Li, Tongyang, Harrow, Aram
Format: Preprint
Published: 2023
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author Balasubramanian, Shankar
Li, Tongyang
Harrow, Aram
author_facet Balasubramanian, Shankar
Li, Tongyang
Harrow, Aram
contents There are few known exponential speedups for quantum algorithms and these tend to fall into even fewer families. One speedup that has mostly resisted generalization is the use of quantum walks to traverse the welded-tree graph, due to Childs, Cleve, Deotto, Farhi, Gutmann, and Spielman. We show how to generalize this to a large class of hierarchical graphs in which the vertices are grouped into "supervertices" which are arranged according to a $d$-dimensional lattice. Supervertices can have different sizes, and edges between supervertices correspond to random connections between their constituent vertices. The hitting times of quantum walks on these graphs are related to the localization properties of zero modes in certain disordered tight binding Hamiltonians. The speedups range from superpolynomial to exponential, depending on the underlying dimension and the random graph model. We also provide concrete realizations of these hierarchical graphs, and introduce a general method for constructing graphs with efficient quantum traversal times using graph sparsification.
format Preprint
id arxiv_https___arxiv_org_abs_2307_15062
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Exponential speedups for quantum walks in random hierarchical graphs
Balasubramanian, Shankar
Li, Tongyang
Harrow, Aram
Quantum Physics
Disordered Systems and Neural Networks
Statistical Mechanics
Strongly Correlated Electrons
There are few known exponential speedups for quantum algorithms and these tend to fall into even fewer families. One speedup that has mostly resisted generalization is the use of quantum walks to traverse the welded-tree graph, due to Childs, Cleve, Deotto, Farhi, Gutmann, and Spielman. We show how to generalize this to a large class of hierarchical graphs in which the vertices are grouped into "supervertices" which are arranged according to a $d$-dimensional lattice. Supervertices can have different sizes, and edges between supervertices correspond to random connections between their constituent vertices. The hitting times of quantum walks on these graphs are related to the localization properties of zero modes in certain disordered tight binding Hamiltonians. The speedups range from superpolynomial to exponential, depending on the underlying dimension and the random graph model. We also provide concrete realizations of these hierarchical graphs, and introduce a general method for constructing graphs with efficient quantum traversal times using graph sparsification.
title Exponential speedups for quantum walks in random hierarchical graphs
topic Quantum Physics
Disordered Systems and Neural Networks
Statistical Mechanics
Strongly Correlated Electrons
url https://arxiv.org/abs/2307.15062