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.

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