Quantum Artificial Intelligence and Optimization (QAIO 2025)

Last Updated on August 31, 2024 by Max

Overview

The “Quantum Artificial Intelligence and Optimization” session at the ICAART 2025 conference offers a platform to explore the integration of quantum computing with artificial intelligence. This session will focus on enhancing AI through quantum technologies, fostering collaboration between AI and quantum computing researchers to drive future innovations.

Key InformationDetails
DatesFebruary 23 – 25, 2025
LocationPorto, Portugal
Paper Submission DeadlineDecember 18, 2024
Official Website Linkhttps://icaart.scitevents.org/QAIO.aspx
Table I: Key information about QAIO 2025.

Key Topics

  • Quantum AI & Decision Making
  • Quantum Machine Learning
  • Quantum Optimization Algorithms
  • Hybrid Quantum-Classical Computing
  • Quantum Architecture Design & Synthesis
  • Quantum Circuit Optimization using AI
  • Applications of Quantum AI
  • Quantum Machine Learning Operations
  • Distributed Quantum Machine Learning
  • Quantum Cognition & Affect

Highlights

The session will connect experts in AI and quantum computing, promoting discussions on theoretical and practical aspects, and developing hybrid quantum-classical systems. Attendees will explore cutting-edge optimization algorithms, quantum machine learning models, and innovative approaches for integrating classical and quantum computing, paving the way for significant advancements in AI capabilities. Accepted papers will be published in the conference proceedings and indexed in major databases such as SCOPUS and Web of Science.

Source of Information: https://icaart.scitevents.org/QAIO.aspx

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