City Research Online

Abstract

This thesis explores AdS3/CFT2 dualities in string theory using techniques from integrability, and machine-learning applications in Lie algebras and in quantum integrability. Introductory chapters on string theory and holography, AdS3/CFT2, and machine-learning are followed by 3 chapters, each presenting a different work of original research: protected spectrum using Algebraic Bethe ansatz in AdS3 backgrounds, supervised learning tensor products of Lie algebra representations, and searching for quantum integrable models using neural networks. We conclude with a discussion of ongoing and unpublished works.

Publication Type:	Thesis (Doctoral)
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QC Physics
Departments:	School of Science & Technology > Mathematics School of Science & Technology > School of Science & Technology Doctoral Theses Doctoral Theses

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