For sub-diffraction imaging of multiple thermal emitters, the authors show a gap between what separable measurements can achieve and the ultimate quantum limit, and propose joint-measurement receivers that close it.
Quantum superresolution and noise spectroscopy with quantum computing
4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4representative citing papers
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.
For Hamiltonians whose coefficients follow stochastic differential equations, Heisenberg-limited coefficient learning is retained only when the diffusion strength is below a threshold of order the target precision to the 3/2 power, and the paper quantifies the extra cost otherwise.
Numerical study confirms that spectral photon counting retains a substantial advantage over homodyne detection for finite-time estimation of Ornstein-Uhlenbeck process variance, with Fisher information and Monte-Carlo errors approaching infinite-time predictions smoothly.
citing papers explorer
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Attaining Fundamental Limits of Multiparameter Incoherent Optical Imaging Using Joint-Detection Quantum Measurements
For sub-diffraction imaging of multiple thermal emitters, the authors show a gap between what separable measurements can achieve and the ultimate quantum limit, and propose joint-measurement receivers that close it.
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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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Quantum Sensing and Hamiltonian Learning under Stochastic Parameter Evolution
For Hamiltonians whose coefficients follow stochastic differential equations, Heisenberg-limited coefficient learning is retained only when the diffusion strength is below a threshold of order the target precision to the 3/2 power, and the paper quantifies the extra cost otherwise.
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Spectrum analysis with quantum dynamical systems. II. Finite-time analysis
Numerical study confirms that spectral photon counting retains a substantial advantage over homodyne detection for finite-time estimation of Ornstein-Uhlenbeck process variance, with Fisher information and Monte-Carlo errors approaching infinite-time predictions smoothly.