Author

Philip Mantrov

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Preprint Aug 2026

Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians

It is demonstrated that this problem can be effectively amortized across an arbitrary and universal set of Hamiltonians by a foundation model with $\sim0.5$B variational parameters, trained with contemporary techniques from large language models and deep reinforcement learning.

Timothy Heightman, Elena Orlova, Philip Mantrov et al. · 1 citation · ⚡1