Quantum Artificial Intelligence: A Brief Survey

TL;DR

This paper provides a concise overview of Quantum Artificial Intelligence, highlighting recent achievements, potential benefits, and open research questions at the intersection of quantum computing and AI.

Contribution

It summarizes key findings on the feasibility and potential of quantum computing for AI and AI methods for quantum device operation, outlining future research directions.

Findings

Quantum computing can address hard AI problems.

AI techniques can improve quantum device control.

QAI shows promising potential for future technological advances.

Abstract

Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and AI, a technological synergy with expected significant benefits for both. In this paper, we provide a brief overview of what has been achieved in QAI so far and point to some open questions for future research. In particular, we summarize some major key findings on the feasability and the potential of using quantum computing for solving computationally hard problems in various subfields of AI, and vice versa, the leveraging of AI methods for building and operating quantum computing devices.