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Main Authors: Dhamapurkar, Shyam, Dang, Yuhang, Wagh, Saniya, Deng, Xiu-Hao
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2312.15693
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author Dhamapurkar, Shyam
Dang, Yuhang
Wagh, Saniya
Deng, Xiu-Hao
author_facet Dhamapurkar, Shyam
Dang, Yuhang
Wagh, Saniya
Deng, Xiu-Hao
contents Random walk algorithms are crucial for sampling and approximation problems in statistical physics and theoretical computer science. The mixing property is necessary for Markov chains to approach stationary distributions and is facilitated by walks. Quantum walks show promise for faster mixing times than classical methods but lack universal proof, especially in finite group settings. Here, we investigate the continuous-time quantum walks on Cayley graphs of the dihedral group $D_{2n}$ for odd $n$, generated by the smallest inverse closed symmetric subset. We present a significant finding that, in contrast to the classical mixing time on these Cayley graphs, which typically takes at least order $Ω(n^2 \log(1/2ε))$, the continuous-time quantum walk mixing time on $D_{2n}$ is of order $O(n (\log n)^5 \log(1/ε))$, achieving a quadratic improvement over the classical case. Our paper advances the general understanding of quantum walk mixing on Cayley graphs, highlighting the improved mixing time achieved by continuous-time quantum walks on $D_{2n}$. This work has potential applications in algorithms for a class of sampling problems based on non-abelian groups.
format Preprint
id arxiv_https___arxiv_org_abs_2312_15693
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Quantum walks advantage on the dihedral group for uniform sampling problem
Dhamapurkar, Shyam
Dang, Yuhang
Wagh, Saniya
Deng, Xiu-Hao
Quantum Physics
Random walk algorithms are crucial for sampling and approximation problems in statistical physics and theoretical computer science. The mixing property is necessary for Markov chains to approach stationary distributions and is facilitated by walks. Quantum walks show promise for faster mixing times than classical methods but lack universal proof, especially in finite group settings. Here, we investigate the continuous-time quantum walks on Cayley graphs of the dihedral group $D_{2n}$ for odd $n$, generated by the smallest inverse closed symmetric subset. We present a significant finding that, in contrast to the classical mixing time on these Cayley graphs, which typically takes at least order $Ω(n^2 \log(1/2ε))$, the continuous-time quantum walk mixing time on $D_{2n}$ is of order $O(n (\log n)^5 \log(1/ε))$, achieving a quadratic improvement over the classical case. Our paper advances the general understanding of quantum walk mixing on Cayley graphs, highlighting the improved mixing time achieved by continuous-time quantum walks on $D_{2n}$. This work has potential applications in algorithms for a class of sampling problems based on non-abelian groups.
title Quantum walks advantage on the dihedral group for uniform sampling problem
topic Quantum Physics
url https://arxiv.org/abs/2312.15693