Proves TMSV optimality for finite-energy incoherent stochastic sensing and shows entanglement is required for independent gain estimation, with non-Gaussian to Gaussian transition in unentangled states as dead time grows.
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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.
Correlated dephasing of two spin qubits near materials isolates rotational symmetry in nonlocal noise correlations, enabling discrimination of s-, d-, and g-wave superconducting gaps and altermagnet types at nanoscale and low frequencies.
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Stochastic signal sensing with finite energy and dead time at the fundamental quantum limit
Proves TMSV optimality for finite-energy incoherent stochastic sensing and shows entanglement is required for independent gain estimation, with non-Gaussian to Gaussian transition in unentangled states as dead time grows.
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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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Correlated Quantum Dephasometry: Symmetry-Resolved Noise Spectroscopy of Two-Dimensional Superconductors and Altermagnets
Correlated dephasing of two spin qubits near materials isolates rotational symmetry in nonlocal noise correlations, enabling discrimination of s-, d-, and g-wave superconducting gaps and altermagnet types at nanoscale and low frequencies.