Aligning Quantum Operators with Large Language Models
Can Large Language Models (LLMs) understand and reason about quantum operators? Despite their remarkable capabilities in mathematics and symbolic reasoning, LLMs remain inherently blind to quantum representations such as unitary matrices. In this work, we take a step toward bridging this gap by introducing an approach that maps unitary operators into the latent space of an LLM, enabling unified modeling over quantum and linguistic inputs. We instantiate this idea on Clifford+T circuit synthesis over a Pauli rotation gate set, where our model achieves results competitive with state-of-the-art methods and scales consistently with training data, with no signs of saturation. Our approach furt...
| Authors | Rogerio Feris, Yunchao Liu, Pengyuan Li et al. |
|---|---|
| Primary category | quant-ph |
| Published | 11 June 2026 |
| Last updated at source | 26 July 2026 |
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