Spin Structure Factor Calculations using Matrix Product States

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/24110

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Sorensen, Erik	-
dc.contributor.author	Borissov, Anton	-
dc.date.accessioned	2019-03-21T18:00:08Z	-
dc.date.available	2019-03-21T18:00:08Z	-
dc.date.issued	2018	-
dc.identifier.uri	http://hdl.handle.net/11375/24110	-
dc.description.abstract	The spin structure factor is the dynamical information coming from inelastic neutron scattering. In this work we develop the technology of tensor networks as a numerical tool to be able to compute physical observables reliably for one-dimensional quantum systems. The main technical message of this thesis is that tensor networks provide a controlled way to compute spin structure factors. The algorithms in this thesis are tested on the anisotropic Majumdar--Ghosh model and the results of these simulations are presented and discussed.	en_US
dc.language.iso	en	en_US
dc.subject	condensed matter physics	en_US
dc.subject	matrix product states	en_US
dc.subject	tensor networks	en_US
dc.title	Spin Structure Factor Calculations using Matrix Product States	en_US
dc.type	Thesis	en_US
dc.contributor.department	Physics and Astronomy	en_US
dc.description.degreetype	Thesis	en_US
dc.description.degree	Master of Science (MSc)	en_US
Appears in Collections:	Open Access Dissertations and Theses

Files in This Item:

File	Description	Size	Format
Borissov_Anton_2018_August_MSc.pdf Open Access		6.7 MB	Adobe PDF	View/Open