Discover the cutting edge of intelligent systems where artificial intelligence meets quantum mechanics. This groundbreaking volume explores how Quantum Game Theory (QGT)—a powerful extension of classical game theory into the quantum domain—is being transformed by AI to tackle some of the most complex strategic challenges across industries.

From quantum Nash equilibria and AI-driven decision systems to real-time applications in finance, cybersecurity the book offers a deep dive into the models, algorithms, and tools that are redefining strategic computation in the age of quantum-enhanced intelligence.

Written by a global team of researchers and practitioners, the book covers:

• AI-powered quantum strategy modeling
• Simulations using Qiskit and TensorFlow Quantum
• Multi-agent learning in quantum environments
• Applications in cryptography, autonomous systems, and smart energy
• Ethical implications of quantum-AI convergence

1. Quantum Nash Equilibria: Theory and Applications
2. Optimizing Strategic Decisions with Quantum Reinforcement Learning
3. Game Theory in Quantum Computing: New Paradigms and Techniques
4. AI-Driven Strategies in Quantum Game Theory
5. Quantum Machine Learning for Strategic Decision Making
6. Hybrid Quantum-Classical Models for Enhanced AI Performance
7. Implementing Quantum Algorithms in Game-Theoretic Models
8. Quantum-AI-Driven Strategies for Real-Time Decision-Making in Healthcare Systems
9. Cryptographic Applications of Quantum Game Theory
10. Financial Market Strategies Using Quantum AI
11. Quantum Resource Allocation: A Game Theoretic Approach
12. Ethical Implications of Quantum-Enhanced AI
13. Future Directions in Quantum AI: Trends and Innovations
14. Quantum Game-Theoretic Models for Cybersecurity Defense Systems
15. Quantum Negotiation Protocols in Multi-Agent AI Systems
16. Simulating Quantum Strategic Interactions Using TensorFlow Quantum
17. Quantum Game Theory for Smart Grid Energy Distribution
18. Human-in-the-Loop Quantum Game Theory Interfaces

Quantum computing represents a paradigm shift in computation, harnessing the principles of quantum mechanics to perform complex calculations at unprecedented speed and scale. AI techniques are increasingly being integrated with quantum computing, unlocking new possibilities for optimization, machine learning, cryptography, and materials science. In this track, researchers explore the synergy between AI and quantum computing, unraveling the potential of quantum-enhanced AI algorithms and applications.

In summary, the 15^th Student Research Symposium

promises a stimulating exchange of ideas, insights, and discoveries at the forefront of AI-driven innovation. We invite you to embark on this journey of exploration and collaboration, as we chart the course towards a future empowered by intelligent technologies.

• All submitted papers must be in the given domain.
• The paper page range must be between 15-20 pages.
• Both implementation as well as survey papers will be considered for the symposium.
• The maximum number of authors in a paper should be 3.
• The original, unpublished technical content in the relevant domain will be considered for the symposium.
• Papers Submissions Submissions must be in pdf format.
• All papers must be submitted on or before 1 ST December 2025 through
• The Notification date to the authors is 20 TH
• The selected papers will be reviewed by the technical committee of the conference.
• Accepted papers must be presented by the authors during the symposium event.
• All accepted, registered, & presented papers will be considered for publication by Benthamscience .
• The top 3 papers will be awarded at the symposium event.