Quantum Agents

TL;DR

This paper investigates how quantum computing can enhance autonomous agents and how agentic AI can support quantum systems, proposing foundational frameworks and prototypes for quantum-agentic platforms.

Contribution

It introduces a formal definition of quantum agents, outlines integration architectures, and develops three prototype systems demonstrating the feasibility of quantum-agentic integration.

Findings

Developed three quantum agent prototypes

Demonstrated quantum-enhanced decision-making capabilities

Outlined architectures for quantum-agentic systems

Abstract

This paper explores the intersection of quantum computing and agentic AI by examining how quantum technologies can enhance the capabilities of autonomous agents, and, conversely, how agentic AI can support the advancement of quantum systems. We analyze both directions of this synergy and present conceptual and technical foundations for future quantum-agentic platforms. Our work introduces a formal definition of quantum agents and outlines potential architectures that integrate quantum computing with agent-based systems. As a proof-of-concept, we develop and evaluate three quantum agent prototypes that demonstrate the feasibility of our proposed framework. Furthermore, we discuss use cases from both perspectives, including quantum-enhanced decision-making, quantum planning and optimization, and AI-driven orchestration of quantum workflows. By bridging these fields, we aim to chart a path toward scalable, intelligent, and adaptive quantum-agentic ecosystems.