(Including but not limited to the following topics)
Track 1: Intelligent Computing
Intelligent computing architecture and chip design
Brain-inspired computing and neuromorphic engineering
Computational storage and near-memory computing
Intelligent edge computing and end-side intelligence
Heterogeneous computing and hardware acceleration
Intelligent cloud computing and resource scheduling
Distributed machine learning systems
Applications of intelligent computing in scientific discovery
Security and privacy protection in intelligent computing
Green and energy-efficient intelligent computing technologies
Photon computing and new intelligent hardware
Intelligent computing benchmarking and evaluation
Intelligent computing systems and accelerators
Architectures for AI-based computational storage and near-memory computing
Integration of intelligent computing with IoT and edge computing
Biologically-inspired computing and neuromorphic computing
Ethics, governance, and social impact of artificial intelligence
Track 2: Quantum Information
Quantum computing and quantum algorithms
Quantum machine learning and quantum artificial intelligence
Quantum communication and quantum networks
Quantum cryptography and quantum security
Quantum sensing and quantum measurement
Quantum error correction and fault-tolerant computing
Quantum software and programming frameworks
Quantum hardware and quantum chips
Quantum bits and quantum storage
Quantum simulation and quantum annealing
Foundations of quantum information theory
Quantum-classical hybrid computing systems
Quantum measurement, quantum control, and quantum sensing
Quantum machine learning and quantum artificial intelligence
Post-quantum cryptography and quantum attacks
Quantum software, programming languages, and development toolchains
Track 3: Algorithm Innovation
Large language models and generative AI algorithms
Graph neural networks and geometric deep learning
Reinforcement learning and multi-agent algorithms
Distributed and parallel computing algorithms
Optimization theory and efficient algorithms
Online algorithms and approximation algorithms
Random algorithms and probabilistic methods
Algorithm game theory and mechanism design
Bioinformatics and computational biology algorithms
Algorithm fairness and interpretability
Automatic machine learning and meta-learning
New algorithms in scientific computing
Algorithms in bioinformatics and computational biology
Optimization algorithms in machine learning