Generalized Phase-Space Techniques to Explore Quantum Phase Transitions
in Critical Quantum Spin Systems
- URL: http://arxiv.org/abs/2203.12320v1
- Date: Wed, 23 Mar 2022 10:46:00 GMT
- Title: Generalized Phase-Space Techniques to Explore Quantum Phase Transitions
in Critical Quantum Spin Systems
- Authors: N. M. Millen, R. P. Rundle, J. H. Samson, Todd Tilma, R. F. Bishop,
and M. J. Everitt
- Abstract summary: We apply the generalized Wigner function formalism to detect and characterize a range of quantum phase transitions.
We demonstrate the utility of phase-space techniques in witnessing and characterizing first-, second- and infinite-order quantum phase transitions.
We also highlight the method's ability to capture other features of spin systems such as ground-state factorization and critical system scaling.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We apply the generalized Wigner function formalism to detect and characterize
a range of quantum phase transitions in several cyclic, finite-length,
spin-$\frac{1}{2}$ one-dimensional spin-chain models, viz., the Ising and
anisotropic $XY$ models in a transverse field, and the $XXZ$ anisotropic
Heisenberg model. We make use of the finite system size to provide an
exhaustive exploration of each system's single-site, bipartite and
multi-partite correlation functions. In turn, we are able to demonstrate the
utility of phase-space techniques in witnessing and characterizing first-,
second- and infinite-order quantum phase transitions, while also enabling an
in-depth analysis of the correlations present within critical systems. We also
highlight the method's ability to capture other features of spin systems such
as ground-state factorization and critical system scaling. Finally, we
demonstrate the generalized Wigner function's utility for state verification by
determining the state of each system and their constituent sub-systems at
points of interest across the quantum phase transitions, enabling interesting
features of critical systems to be intuitively analyzed.
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