Quantum Walks on Arc-Transitive Graphs with Self-Loops

dc.contributor.advisorHøyer, Peter
dc.contributor.authorYu, Zhan
dc.contributor.committeememberCockett, J. Robin B.
dc.contributor.committeememberScheidler, Renate
dc.date2022-02
dc.date.accessioned2021-11-01T20:47:09Z
dc.date.available2021-11-01T20:47:09Z
dc.date.issued2021-10-29
dc.description.abstractThe lackadaisical quantum walk is a quantum analogue of the lazy random walk obtained by adding a self-loop to each vertex in the graph. The lackadaisical quantum walk has been studied on cycles, n-dimensional tori, hypercubes, Johnson graphs, and other classes of vertex-transitive graphs. The results of numerical simulation show that lackadaisical quantum walks can find a unique marked vertex on these graphs with constant success probability quadratically faster than the random walk, and the optimal weight of the self-loops is ℓ = d/N where d is the degree of the vertices and N is the number of vertices. One common property of these classes of graphs is that they are locally arc-transitive. In this thesis, we analytically prove that for any d-regular locally arc-transitive graph, by adding a self-loop of weight ℓ = d/N on each vertex, the lackadaisical quantum walk finds a unique marked vertex with probability at least a constant. Our proof establishes and uses a relationship between the lackadaisical quantum walk and the quantum interpolated walk that was introduced by Krovi, Magniez, Ozols, and Roland in 2015. Our result proves speculations and numerical findings of lackadaisical quantum walks in previous work.en_US
dc.identifier.citationYu, Z. (2021). Quantum Walks on Arc-Transitive Graphs with Self-Loops (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/39369
dc.identifier.urihttp://hdl.handle.net/1880/114090
dc.language.isoengen_US
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectQuantum walken_US
dc.subjectRandom walken_US
dc.subjectQuantum algorithmen_US
dc.subjectGraphen_US
dc.subject.classificationEducation--Mathematicsen_US
dc.subject.classificationPhysicsen_US
dc.subject.classificationComputer Scienceen_US
dc.titleQuantum Walks on Arc-Transitive Graphs with Self-Loopsen_US
dc.typemaster thesisen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ucalgary_2021_yu_zhan.pdf
Size:
627.49 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.62 KB
Format:
Item-specific license agreed upon to submission
Description: