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We show how a quantum walk can be used to find a marked edge or a marked complete subgraph of a complete graph. We employ a version of a quantum walk, the scattering walk, which lends itself to experimental implementation. The edges are…

量子物理 · 物理学 2015-05-14 Mark Hillery , Daniel Reitzner , Vladimir Buzek

We construct a quantum searching model of a signed edge driven by a quantum walk. The time evolution operator of this quantum walk provides a weighted adjacency matrix induced by the assignment of sign to each edge. This sign can be…

量子物理 · 物理学 2020-07-15 Etsuo Segawa , Yusuke Yoshie

Quantum walk is a potent technique for building quantum algorithms. This paper examines the quantum walk search algorithm on complete multipartite graphs with multiple marked vertices, which has not been explored before. Two specific cases…

量子物理 · 物理学 2024-10-08 Ningxiang Chen , Meng Li , Xiaoming Sun

The problem of finding a marked node in a graph can be solved by the spatial search algorithm based on continuous-time quantum walks (CTQW). However, this algorithm is known to run in optimal time only for a handful of graphs. In this work,…

量子物理 · 物理学 2016-03-23 Shantanav Chakraborty , Leonardo Novo , Andris Ambainis , Yasser Omar

This paper studies the search for a single arc in a graph using the Szegedy walk. Arc search can be interpreted as finding a quantum particle not only in its position but also with a specific internal state. The quantum walk employed in…

量子物理 · 物理学 2026-04-22 Sho Kubota , Kiyoto Yoshino

A quantum walk algorithm can detect the presence of a marked vertex on a graph quadratically faster than the corresponding random walk algorithm (Szegedy, FOCS 2004). However, quantum algorithms that actually find a marked element…

量子物理 · 物理学 2019-03-19 Andris Ambainis , András Gilyén , Stacey Jeffery , Martins Kokainis

Continuous-time quantum walks provide a natural framework to tackle the fundamental problem of finding a node among a set of marked nodes in a graph, known as spatial search. Whether spatial search by continuous-time quantum walk provides a…

量子物理 · 物理学 2022-10-24 Simon Apers , Shantanav Chakraborty , Leonardo Novo , Jérémie Roland

Quantum walk has emerged as an essential tool for searching marked vertices on various graphs. Recent advances in the discrete-time quantum walk search algorithm have enabled it to effectively handle multiple marked vertices, expanding its…

量子物理 · 物理学 2025-10-07 Pulak Ranjan Giri , Rei Sato , Kazuhiro Saito

We develop a general theory for a quantum-walk search on a star graph. A star graph has N edges each of which is attached to a central vertex. A graph G is attached to one of these edges, and we would like to find out to which edge it is…

量子物理 · 物理学 2015-06-17 Seth Cottrell , Mark Hillery

In this work, we generalize the recently-introduced graph composition framework to the non-boolean setting. A quantum algorithm in this framework is represented by a hypergraph, where each hyperedge is adjacent to multiple vertices. The…

量子物理 · 物理学 2025-10-07 Arjan Cornelissen

We study how quantum walks can be used to find structural anomalies in graphs via several examples. Two of our examples are based on star graphs, graphs with a single central vertex to which the other vertices, which we call external…

量子物理 · 物理学 2015-06-05 Mark Hillery , Hongjun Zheng , Edgar Feldman , Daniel Reitzner , Vladimir Buzek

A discrete time quantum walk is known to be the single-particle sector of a quantum cellular automaton. Searching in this mathematical framework has interested the community since a long time. However, most results consider spatial search…

量子物理 · 物理学 2023-12-27 Mathieu Roget , Giuseppe Di Molfetta

In quantum computing, the quantum walk search algorithm is designed for locating fixed marked nodes within a graph. However, when multiple marked nodes exist, the conventional search algorithm lacks the capacity to simultaneously amplify…

量子物理 · 物理学 2024-02-06 Himanshu Sahu , Kallol Sen

Spatial search is an important problem in quantum computation, which aims to find a marked vertex on a graph. We propose a novel approach for designing deterministic quantum search algorithms on a variety of graphs via alternating quantum…

量子物理 · 物理学 2023-08-25 Qingwen Wang , Ying Jiang , Shiguang Feng , Lvzhou Li

We explore the use of machine-learning techniques to detect quantum speedup in random walks on graphs. Specifically, we investigate the performance of three different neural-network architectures (variations on fully connected and…

量子物理 · 物理学 2023-09-06 Hanna Linn , Yu Zheng , Anton Frisk Kockum

A new approach of graph matching is introduced in this paper, which efficiently solves the problem of graph isomorphism and subgraph isomorphism. In this paper we are introducing a new approach called SubGraD, for query graph detection in…

数据结构与算法 · 计算机科学 2012-05-23 Akshara Pande , Vivekanand Pant , S. Nigam

Quantum walks are at the heart of modern quantum technologies. They allow to deal with quantum transport phenomena and are an advanced tool for constructing novel quantum algorithms. Quantum walks on graphs are fundamentally different from…

量子物理 · 物理学 2019-12-18 Alexey A. Melnikov , Leonid E. Fedichkin , Alexander Alodjants

Quantum walks provide a powerful framework for achieving algorithmic speedup in quantum computing. This paper presents a quantum search algorithm for 2-tessellable graphs, a generalization of bipartite graphs, achieving a quadratic speedup…

量子物理 · 物理学 2025-04-18 Gustavo Alves Bezerra , Andris Ambainis , Renato Portugal

Quantum walks have been useful for designing quantum algorithms that outperform their classical versions for a variety of search problems. Most of the papers, however, consider a search space containing a single marked element only. We show…

量子物理 · 物理学 2017-10-12 Nikolajs Nahimovs , Raqueline A. M. Santos

We study scattering quantum walks on highly symmetric graphs and use the walks to solve search problems on these graphs. The particle making the walk resides on the edges of the graph, and at each time step scatters at the vertices. All of…

量子物理 · 物理学 2009-01-27 Daniel Reitzner , Mark Hillery , Edgar Feldman , Vladimir Buzek
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