Quantum score matching with applications to learning thermal states
This work establishes a general quantum score-matching framework with end-to-end theoretical guarantees for quantum states and achieves information-theoretically optimal sample complexity in the high-temperature regime for Hamiltonians with bounded locality and interaction degree.
Yu-Long Dong, Jia-Qi Leng
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