Ultimate precision bounds for multiparameter Markovian noise metrology show average variance scaling as Ω(1/(T R²)) with Heisenberg scaling in dissipative channels R when using entangled probes and high-rank signal correlations, attainable via rapid prepare-and-measure protocols.
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A Monte Carlo method maps quantum Fisher information lower bounds for explicit many-body wavefunctions to classical expectation values, enabling efficient computation under decoherence for Jastrow-Gutzwiller states.
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Precision Limits of Multiparameter Markovian-Noise Metrology
Ultimate precision bounds for multiparameter Markovian noise metrology show average variance scaling as Ω(1/(T R²)) with Heisenberg scaling in dissipative channels R when using entangled probes and high-rank signal correlations, attainable via rapid prepare-and-measure protocols.
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Quantum Fisher Information under decoherence with explicit wavefunctions
A Monte Carlo method maps quantum Fisher information lower bounds for explicit many-body wavefunctions to classical expectation values, enabling efficient computation under decoherence for Jastrow-Gutzwiller states.