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A physics-inspired polynomial neural surrogate is developed for PyTheus, a graph-based quantum-optics simulator, to predict quantum states and use it to design quantum experiments, suggesting that incorporating the underlying physics into neural surrogates can provide an efficient approach to quantum experiment design.