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Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization
Protein fitness optimization is a discrete search problem, and the representation used for prediction also determines the neighborhood graph traversed by an optimizer. We introduce Q-BioLat, a framework that maps pretrained protein-language-model embeddings to compact binary codes and fits a quadrat
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