TASI/CERN/KITP Lecture Notes on "Toward Quantum Computing Gauge Theories of Nature"

TL;DR

This paper introduces quantum computing approaches to lattice gauge theories, emphasizing theoretical foundations, algorithms, and practical examples, aiming to advance computational studies of fundamental physics phenomena.

Contribution

It provides a pedagogical overview of quantum algorithms for lattice gauge theories, including Hamiltonian formulation, quantum circuit design, and resource analysis, with specific focus on Abelian and non-Abelian theories.

Findings

Hamiltonian formulation of lattice gauge theories explained

Quantum circuit designs for gauge theories demonstrated

Resource estimates for quantum chromodynamics provided

Abstract

A hallmark of the computational campaign in nuclear and particle physics is the lattice-gauge-theory program. It continues to enable theoretical predictions for a range of phenomena in nature from the underlying Standard Model. The emergence of a new computational paradigm based on quantum computing, therefore, can introduce further advances in this program. In particular, it is believed that quantum computing will make possible first-principles studies of matter at extreme densities, and in and out of equilibrium, hence improving our theoretical description of early universe, astrophysical environments, and high-energy particle collisions. Developing and advancing a quantum-computing based lattice-gauge-theory program, therefore, is a vibrant and fast-moving area of research in theoretical nuclear and particle physics. These lecture notes introduce the topic of quantum computing lattice gauge theories in a pedagogical manner, with an emphasis on theoretical and algorithmic aspects of the program, and on the most common approaches and practices, to keep the presentation focused and useful. Hamiltonian formulation of lattice gauge theories is introduced within the Kogut-Susskind framework, the notion of Hilbert space and physical states is discussed, and some elementary numerical methods for performing Hamiltonian simulations are discussed. Quantum-simulation preliminaries and digital quantum-computing basics are presented, which set the stage for concrete examples of gauge-theory quantum-circuit design and resource analysis. A step-by-step analysis is provided for a simpler Abelian gauge theory, and an overview of our current understanding of the quantum-computing cost of quantum chromodynamics is presented in the end. Examples and exercises augment the material, and reinforce the concepts and methods introduced throughout.