Quantum-inspired Embeddings Projection and Similarity Metrics for
Representation Learning
Quantum-inspired Embeddings Projection and Similarity Metrics for
Representation Learning
Over the last decade, representation learning, which embeds complex information extracted from large amounts of data into dense vector spaces, has emerged as a key technique in machine learning. Among other applications, it has been a key building block for large language models and advanced computer vision systems based on …