QIANets is a research project focused on leveraging quantum-inspired algorithms for efficient AI model compression. By integrating principles from quantum computing, QIANets aims to reduce model sizes while maintaining performance, enabling more scalable and energy-efficient AI systems. The research is recognized at NeurIPS 2024 ML and Compression.
-
Updated
Jan 7, 2025 - JavaScript