M
Martin Paúr
Researcher at Palacký University, Olomouc
Publications - 26
Citations - 630
Martin Paúr is an academic researcher from Palacký University, Olomouc. The author has contributed to research in topics: Point spread function & Quantum limit. The author has an hindex of 9, co-authored 25 publications receiving 480 citations.
Papers
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Journal ArticleDOI
Achieving the ultimate optical resolution
TL;DR: In this article, the Fisher information required for resolving the two sources is revisited and the resulting Cramer-Rao bound is shown to give the minimum error achievable for any unbiased estimator.
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Multiparameter quantum metrology of incoherent point sources: Towards realistic superresolution
Jaroslav Rehacek,Zdenek Hradil,B. Stoklasa,Martin Paúr,Jai Grover,A. Krzic,Luis L. Sánchez-Soto,Luis L. Sánchez-Soto +7 more
TL;DR: In this article, the authors established the multiparameter quantum Cram\'er-Rao bound for simultaneously estimating the centroid, the separation, and the relative intensities of two incoherent optical point sources using a linear imaging system.
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Optimal measurements for resolution beyond the Rayleigh limit
TL;DR: The conditions to attain the ultimate resolution predicted by quantum estimation theory for the case of two incoherent point sources using a linear imaging system are established.
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Quantum-Limited Time-Frequency Estimation through Mode-Selective Photon Measurement.
John M. Donohue,Vahid Ansari,Jaroslav Řeháček,Zdeněk Hradil,B. Stoklasa,Martin Paúr,Luis L. Sánchez-Soto,Luis L. Sánchez-Soto,Christine Silberhorn +8 more
TL;DR: This work experimentally resolve temporal and spectral separations between incoherent mixtures of single-photon level signals ten times smaller than their optical bandwidths with a tenfold improvement in precision over the intensity-only Cramér-Rao bound.
Journal ArticleDOI
Tempering Rayleigh's curse with PSF shaping
Martin Paúr,B. Stoklasa,Jai Grover,Andrej Krzic,Luis L. Sánchez-Soto,Zdeněk Hradil,Jaroslav Řeháček +6 more
TL;DR: In this paper, the authors identify a class of point spread functions with a linear information decrease and show that any well-behaved symmetric PSF can be converted into such a form with a simple nonabsorbing signum filter.