Computing quantum phase transitions

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dc.creatorVojta, Thomas
dc.date2007-09-06
dc.date.accessioned2026-07-07T12:17:22Z
dc.date.available2026-07-07T12:17:22Z
dc.descriptionThis article first gives a concise introduction to quantum phase transitions, emphasizing similarities with and differences to classical thermal transitions. After pointing out the computational challenges posed by quantum phase transitions, a number of successful computational approaches is discussed. The focus is on classical and quantum Monte Carlo methods, with the former being based on the quantum-to classical mapping while the latter directly attack the quantum problem. These methods are illustrated by several examples of quantum phase transitions in clean and disordered systems.
dc.description99 pages, 15 figures, submitted to Reviews in Computational Chemistry
dc.identifierhttps://arxiv.org/abs/0709.0964
dc.identifierhttp://arxiv.org/abs/0709.0964
dc.identifierReviews in Computational Chemistry 26, 167-221 (2008)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212060
dc.subjectStatistical Mechanics
dc.subjectStrongly Correlated Electrons
dc.titleComputing quantum phase transitions
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