The generic Mott transition in the sine-Gordon model through an embedded worm algorithm
Oscar Bouverot-Dupuis, Laura Foini, Alberto Rosso
TL;DR
This work targets the generic Mott transition in one-dimensional quantum systems described by the tilted sine-Gordon model. It introduces the Smooth Worm (SmoWo) Monte Carlo algorithm, which combines worm updates with extended event-chain moves in a current-fluctuation representation to smoothly connect topological sectors and sample large systems. The study reveals a clear phase separation between a Luttinger liquid and a Mott insulator, providing precise critical properties (e.g., $z=2$, $\nu\approx0.5$, $\eta\approx3$) and identifying Hubbard-band structures within the MI. The SmoWo method significantly improves sampling efficiency from exponential to polynomial scaling, enabling detailed finite-size scaling analyses and broader applicability to other bosonized 1D models.
Abstract
The generic Mott transition in one-dimensional quantum systems can be described by the sine-Gordon model with a tilt via bosonization. Because the configuration space of the sine-Gordon model separates into distinct topological sectors, standard local Monte Carlo schemes are limited to very small system sizes. To overcome this limitation, we introduce the smooth worm (SmoWo) Monte Carlo algorithm which enlarges the configuration space to allow smooth transitions between topological sectors. The method combines worm updates with event-chain Monte Carlo moves. We explicitly prove its validity and quantify its performance. Thanks to the substantial acceleration achieved by the SmoWo algorithm, we are able to simulate large system sizes, providing a precise picture of the different phases and critical behaviour of the sine-Gordon model.
