Quick Navigation
Topics
Open Quantum Systems Decoherence
Quantum Simulation
Localization of quantum walks induced by recurrence properties of random walks
arXiv
Authors: Etsuo Segawa
Year
2011
Paper ID
31082
Status
Preprint
Abstract Read
~2 min
Abstract Words
124
Citations
N/A
Abstract
We study a quantum walk (QW) whose time evolution is induced by a random walk (RW) first introduced by Szegedy (2004). We focus on a relation between recurrent properties of the RW and localization of the corresponding QW. We find the following two fundamental derivations of localization of the QW. The first one is the set of all the ell2 summable eigenvectors of the corresponding RW. The second one is the orthogonal complement, whose eigenvalues are pm 1, of the subspace induced by the RW. In particular, as a consequence, for an infinite half line, we show that localization of the QW can be ensured by the positive recurrence of the corresponding RWs, and also that the existence of only one self loop affects localization properties.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2011 reference point for readers tracking recent quantum research.
- We study a quantum walk (QW) whose time evolution is induced by a random walk (RW) first introduced by Szegedy (2004).
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.