Probing Gauge Symmetries and 
Gauge-Matter Interactions 
using Tensor Networks

Introduction

We are in the midst of the second quantum revolution. Highly entangled quantum matter is being discovered, engineered, controlled, and probed across a wide range of scales and conditions; quantum platforms are being used to emulate other quantum systems.

Importance of Classical Simulation

The ability to simulate the quantum world on classical computers has been instrumental in guiding, validating, and diagnosing these exciting developments. As the quantum world is probed beyond regimes of weak coupling and near-equilibrium, novel computational methods are required that can faithfully parameterize the peculiar entanglement patterns of physical quantum states in a scalable manner.

Project Goals

The central goal of GaMaTeN is the design and application of tensor network methods for studying quantum lattice systems with gauge symmetries, the universal paradigm that governs high-energy particles as well as low-temperature condensed matter.

Computational Framework

A computational framework will be developed for targeting interacting gauge and matter degrees of freedom in conditions that are beyond the reach of the ubiquitous Monte Carlo sampling techniques.

Research Focus Areas

1. Equilibrium properties of phases with high baryonic densities.
2. Non-equilibrium dynamical effects such as:
   • The phenomenon of string breaking.
   • Spontaneous particle production in strong external fields.

Conceptual Insights

At the conceptual level, a unique entanglement perspective on the non-perturbative real-space scaling behavior of gauge theories will be provided.

Future Implications

Furthermore, the advancements in this proposal are essential in order for tensor networks to uphold their instrumental role in assisting and benchmarking future quantum simulation proposals and experiments.

Algorithm Development

The tensor network algorithms developed in the GaMaTeN project will be optimized for high performance and will maximally exploit symmetries. They will be released as a general-purpose open-source library, which offers the potential for a lasting impact far beyond the scope of this proposal.