Efficient algorithm for optimizing data-pattern tomography

Motka, L.; Stoklasa, B.; Rehacek, J.; Hradil, Z.; Karasek, V.; Mogilevtsev, D.; Harder, G.; Silberhorn, C.; Sanchez-Soto, L. L.

doi:10.1103/PhysRevA.89.054102

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Efficient algorithm for optimizing data-pattern tomography

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Silberhorn, C.
Silberhorn Research Group, Research Groups, Max Planck Institute for the Science of Light, Max Planck Society;

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Sanchez-Soto, L. L.
Guests, Max Planck Institute for the Science of Light, Max Planck Society;

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Citation

Motka, L., Stoklasa, B., Rehacek, J., Hradil, Z., Karasek, V., Mogilevtsev, D., et al. (2014). Efficient algorithm for optimizing data-pattern tomography. PHYSICAL REVIEW A, 89(5): 054102. doi:10.1103/PhysRevA.89.054102.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-65F3-8

Abstract

We give a detailed account of an efficient search algorithm for the data-pattern tomography proposed by J. Rehacek, D. Mogilevtsev, and Z. Hradil [Phys. Rev. Lett. 105, 010402 (2010)], where the quantum state of a system is reconstructed without a priori knowledge about the measuring setup. The method is especially suited for experiments involving complex detectors, which are difficult to calibrate and characterize. We illustrate the approach with the case study of the homodyne detection of a nonclassical photon state.