Quantum-optimal detection of one-versus-two incoherent optical sources with arbitrary separation
Xiao-Ming Lu, Hari Krovi, Ranjith Nair, Saikat Guha, Jeffrey H., Shapiro

TL;DR
This paper investigates the fundamental quantum limits of resolving one versus two incoherent optical sources and demonstrates that certain linear-optic schemes can approach these limits, outperforming traditional imaging methods especially at small separations.
Contribution
The paper derives the quantum Chernoff bound for the detection problem and shows that linear-optic schemes like B-SPADE are quantum-optimal across all separations, with SLIVER being near-optimal at sub-Rayleigh distances.
Findings
B-SPADE achieves quantum optimality for all source separations.
SLIVER is near-optimal for sub-Rayleigh separations.
Proposed schemes outperform direct imaging in scaling with source separation.
Abstract
We analyze the fundamental quantum limit of the resolution of an optical imaging system from the perspective of the detection problem of deciding whether the optical field in the image plane is generated by one incoherent on-axis source with brightness or by two -brightness incoherent sources that are symmetrically disposed about the optical axis. Using the exact thermal-state model of the field, we derive the quantum Chernoff bound for the detection problem, which specifies the optimum rate of decay of the error probability with increasing number of collected photons that is allowed by quantum mechanics. We then show that recently proposed linear-optic schemes approach the quantum Chernoff bound---the method of binary spatial-mode demultiplexing (B-SPADE) is quantum-optimal for all values of separation, while a method using image-inversion interferometry (SLIVER)…
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