(Topics include but are not limited to)
Design and Analysis of New Artificial Intelligence Algorithms
Quantum Machine Learning Theory and Applications
Quantum Algorithm Design and Complexity Analysis
The Application of Mathematical Optimization Theory in AI
Fusion Method of Computational Mathematics and AI
The mathematical foundation of explainable artificial intelligence
Quantum Circuit Model and Quantum Programming Language
Mathematical Theory in Deep Learning
Quantum Annealing and Combination Optimization Solution
Probability Graph Model and Bayesian Reasoning
Quantum Kernel Method and Quantum Feature Mapping
Topology Data Analysis and Machine Learning
The Application of Tensor Networks in Quantum and AI
Mathematical methods in high-dimensional data analysis
Quantum Approximation Optimization Algorithm (QAOA)
AI assisted mathematical discovery and theorem proof
Quantum Error Mitigation and Fault Tolerant Computing Theory
Numerical Linear Algebra and Large scale Computing
Information theory, coding theory, and quantum information
Physical Implementation and Verification of Quantum Artificial Intelligence