Local subgraph structure can cause localization in continuous-time quantum walk
Yusuke Ide

TL;DR
This paper investigates how local subgraph structures influence the localization phenomenon in continuous-time quantum walks on graphs, providing a decomposition method and conditions for localization as graph size grows.
Contribution
It introduces a novel graph decomposition technique and establishes conditions under which quantum walk localization occurs in large graphs.
Findings
Decomposition method for Laplacian matrices based on graph structure
Conditions for localization probability tending to 1 in large graphs
Insights into the influence of local subgraph structures on quantum walk behavior
Abstract
In this paper, we consider continuous-time quantum walks (CTQWs) on finite graphs determined by the Laplacian matrices. By introducing fully interconnected graph decomposition of given graphs, we show a decomposition method for the Laplacian matrices. Using the decomposition method, we show several conditions for graph structure which return probability of CTQW tends to 1 while the number of vertices tends to infinity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata · Quantum Information and Cryptography
