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Seyed Mohammad Hashemi Rafsanjani

Researcher at The Institute of Optics

Publications -  42
Citations -  974

Seyed Mohammad Hashemi Rafsanjani is an academic researcher from The Institute of Optics. The author has contributed to research in topics: Photon & Quantum channel. The author has an hindex of 17, co-authored 42 publications receiving 760 citations. Previous affiliations of Seyed Mohammad Hashemi Rafsanjani include Xi'an Jiaotong University & University of Miami.

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Sorting Photons by Radial Quantum Number.

TL;DR: A mode sorter based on the fractional Fourier transform to efficiently decompose the optical field according to its radial profile is proposed and demonstrated and can achieve unit efficiency and thus can be suitable for applications that involve quantum states of light.
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Compressive direct measurement of the quantum wave function

TL;DR: This Letter introduces a method that exploits sparsity for the compressive measurement of the transverse spatial wave function of photons by using weak measurements of random projection operators in the spatial domain followed by postselection in the momentum basis.
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Quantum-limited estimation of the axial separation of two incoherent point sources

TL;DR: In this paper, a radial mode sorter is used to decompose the optical fields into a radial basis set to extract the phase information associated with the axial positions of the point sources.
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State transfer based on classical nonseparability

TL;DR: In this article, a state-transfer protocol that is mathematically equivalent to quantum teleportation but uses classical non-separability instead of quantum entanglement is presented, taking advantage of nonseparability among three parties: orbital angular momentum (OAM), polarization, and the radial degrees of freedom of a beam of light.
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Digital spiral object identification using random light.

TL;DR: It is demonstrated that the spatial signatures and phase information of an object with rotational symmetries can be identified using classical orbital angular momentum correlations in random light, and the technique is robust against environmental noise, a fundamental feature of any realistic scheme for remote sensing.