Transformer quantum state: A multipurpose model for quantum many-body problems
Abstract: Inspired by the advancements in large language models based on transformers, we introduce the transformer
quantum state (TQS): a versatile machine learning model for quantum many-body problems. In sharp contrast
to Hamiltonian/task specific models, TQS can generate the entire phase diagram, predict field strengths with
experimental measurements, and transfer such a knowledge to new systems it has never been trained on
before, all within a single model. With specific tasks, fine-tuning the TQS produces accurate results with small
computational cost. Versatile by design, TQS can be easily adapted to new tasks, thereby pointing towards a
general-purpose model for various challenging quantum problems.
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