Last Updated on August 31, 2024 by Dr. Sushanta Barman
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 Information | Details |
|---|---|
| Dates | February 23 – 25, 2025 |
| Location | Porto, Portugal |
| Paper Submission Deadline | December 18, 2024 |
| Official Website Link | https://icaart.scitevents.org/QAIO.aspx |
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
Dr. Sushanta Barman is a Postdoctoral Fellow at the Tata Institute of Fundamental Research, working on quantum physics and matter-wave phenomena. Through MatterWaveX, he shares articles on modern physics, quantum technology, and scientific simulations.
