Tensor networks provide extremely powerful tools for the study of complex classical and
quantum many-body problems. Over the past two decades, the increment in the number of …

Formulating gauge theories on a lattice offers a genuinely non-perturbative way of studying
quantum field theories, and has led to impressive achievements. In particular, it significantly …

An accurate calculation of the properties of quantum many-body systems is one of the most
important yet intricate challenges of modern physics and computer science. In recent years …

The gradient-based optimization method for deep machine learning models suffers from
gradient vanishing and exploding problems, particularly when the computational graph …

We develop a strategy for tensor network algorithms that allows to deal very efficiently with
lattices of high connectivity. The basic idea is to fine grain the physical degrees of freedom …

We propose a new scheme of modifying spin waves so as to describe the thermodynamic
properties of various noncollinear antiferromagnets with particular interest in a comparison …

Many-body quantum problems are still very complex to solve and today's solutions do not
take into account that the objects of the systems are entangled with each other. By using …