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Efficient learning of many-body systems

The Hamiltonian describing a quantum many-body system can be learned using measurements in thermal equilibrium. Now, a learning algorithm applicable to many natural systems has been found that requires exponentially fewer measurements than existing methods.

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Fig. 1: Cluster expansion for a geometrically local Hamiltonian.

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Correspondence to Sitan Chen.

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Chen, S. Efficient learning of many-body systems. Nat. Phys. (2024). https://doi.org/10.1038/s41567-024-02393-4

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