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. / Thesis / Master of Science (MSc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/24110 |
| Date | January 2018 |
| Creators | Borissov, Anton |
| Contributors | Sorensen, Erik, Physics and Astronomy |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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