2014
DOI: 10.1103/physrevlett.113.027204
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Order-by-Disorder and Quantum Coulomb Phase in Quantum Square Ice

Abstract: We reconstruct the equilibrium phase diagram of quantum square ice, realized by the transverse-field Ising model on the checkerboard lattice, using a combination of quantum Monte Carlo, degenerate perturbation theory and gauge mean-field theory. The extensive ground-state degeneracy of classical square ice is lifted by the transverse field, leading to two distinct order-by-disorder phases, a plaquette valence-bond solid for low field, and a canted Néel state for stronger fields. These two states appear via a h… Show more

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Cited by 32 publications
(57 citation statements)
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“…The existence of a canted RPS phase confirms the results of Monte-Carlo studies of Refs. 29 and 45 , as well as the result of quantum dimer model 28 .…”
Section: Resultsmentioning
confidence: 99%
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“…The existence of a canted RPS phase confirms the results of Monte-Carlo studies of Refs. 29 and 45 , as well as the result of quantum dimer model 28 .…”
Section: Resultsmentioning
confidence: 99%
“…A recently Monte-Carlo study of the TFIM on the isotropic J 2 = J 1 checkerboard lattice 45 , reports an RPS state, via an extrapolation to zero-temperature, that persists up to Γ ≃ 0.13 and a canted Néel state for 0.13 Γ 0.28 and finally a quantum paramagnet phase for higher fields (Γ 0.28). However, the presence of such a Néel phase is a very delicate issue, which requires more justifications.…”
Section: Summary and Discussionmentioning
confidence: 99%
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“…In fact, it has been concluded that the exponential degeneracy of the classical ground state at the highly frustrated point, J 2 = J 1 , (known as square ice [26]) is lifted toward a unique quantum plaquette-VBS state that breaks translational symmetry of the lattice with two-fold degeneracy. It is a manifestation of order by disorder phenomena [23][24][25], which is induced by quantum fluctuations.…”
Section: The Model Hamiltonianmentioning
confidence: 99%
“…Therefore, it is possible to extend this framework to other physical models. For example, quantum Monte Carlo simulations of quantum spin ice models [39][40][41], toric code and related gauge models [42][43][44] have been difficult due to the physical constraints present in the model. The generality of the RL framework presented here can explore an enlarged state space and potentially discover new sampling schemes through the automatic exploration of the machine agent on a constrained model.…”
Section: Discussionmentioning
confidence: 99%