Derives the ultimate quantum limit for estimating functions of multiple parameters in general Hamiltonians, showing it reduces to an optimized single-parameter quantum Cramér-Rao bound with an attaining protocol.
Optimally learning functions in interacting quantum sensor networks
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Multiparameter function estimation for general Hamiltonians
Derives the ultimate quantum limit for estimating functions of multiple parameters in general Hamiltonians, showing it reduces to an optimized single-parameter quantum Cramér-Rao bound with an attaining protocol.