From quantum mechanics to classical statistical physics: generalized Rokhsar-Kivelson Hamiltonians and the "Stochastic Matrix Form" decomposition
Claudio Castelnovo (1), Claudio Chamon (1), Christopher Mudry (2), and, Pierre Pujol (3) ((1) Boston University, USA, (2) Paul Scherrer Institut,, Switzerland, (3) Laboratoire de Physique, Ecole Normale Superieure, France)

TL;DR
This paper introduces the Stochastic Matrix Form (SMF) decomposition, linking quantum Hamiltonians at Rokhsar-Kivelson points to classical stochastic systems, revealing new insights into quantum-classical correspondences and phase diagrams.
Contribution
It establishes the SMF decomposition as a unifying framework for quantum Hamiltonians at RK points, connecting them to classical stochastic systems and their dynamics.
Findings
SMF decomposable matrices correspond to classical stochastic systems.
Quantum phase diagrams are partly controlled by classical partition functions.
Examples include quantum dimer, eight-vertex, and three-coloring models.
Abstract
Quantum Hamiltonians that are fine-tuned to their so-called Rokhsar-Kivelson (RK) points, first presented in the context of quantum dimer models, are defined by their representations in preferred bases in which their ground state wave functions are intimately related to the partition functions of combinatorial problems of classical statistical physics. We show that all the known examples of quantum Hamiltonians, when fine-tuned to their RK points, belong to a larger class of real, symmetric, and irreducible matrices that admit what we dub a Stochastic Matrix Form (SMF) decomposition. Matrices that are SMF decomposable are shown to be in one-to-one correspondence with stochastic classical systems described by a Master equation of the matrix type, hence their name. It then follows that the equilibrium partition function of the stochastic classical system partly controls the…
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