Recent Advances in Quantum Architecture Search

TL;DR

This paper reviews recent progress in Quantum Architecture Search (QAS), focusing on its core concepts, methodologies, applications, challenges, and future research directions in the context of variational quantum algorithms.

Contribution

It provides a comprehensive overview of current QAS advancements, highlighting key methodologies and identifying open challenges for future exploration.

Findings

Summarizes core concepts and methodologies of QAS.

Highlights applications of QAS in variational quantum algorithms.

Discusses remaining challenges and future research directions.

Abstract

Variational quantum algorithms (VQAs) constitute a prominent framework for exploring the capabilities of near-term quantum computers. As the effectiveness of VQAs depends heavily on the design of variational quantum circuits, Quantum Architecture Search (QAS) has emerged as a critical research area to automate the discovery of high-performing circuit structures. This paper reviews key advancements in current research on QAS, including its core concepts, representative methodologies, and applications. The content is structured to ensure broad accessibility for a diverse audience of researchers while preserving the core principles of complex methodologies. In addition, we discuss remaining challenges and suggest potential research directions to offer perspectives on future exploration in this rapidly evolving field.