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Conference paper

Adaptive phase estimation with squeezed thermal light

In Cleo/europe 2013 - European Conference on Lasers and Electro-optics — 2013, pp. 1-1
From

Department of Physics, Technical University of Denmark1

Quantum Physics and Information Technology, Department of Physics, Technical University of Denmark2

Universitá degli Studi di Milano3

Summary form only given. The use of quantum states of light in optical interferometry improves the precision in the estimation of a phase shift, paving the way for applications in quantum metrology, computation and cryptography. Sub-shot noise phase sensing can for example be achieved by injecting a squeezed vacuum into an interferometer .

However, this approach leads to enhanced sensitivity only for small phase shifts. In this work we aim for ab initio sub-shot noise estimation of an unknown phase shift using a pre-determined squeezed probe and an adaptive measurement approach. We experimentally investigate the performances of such protocol under the realistic assumption of thermalization of the probe state.

Indeed, adaptive phase estimation schemes with squeezed states and Bayesian processing of homodyne data have been shown to be asymptotically optimal in the pure case, thus approaching the quantum Cramér-Rao bound. In our protocol we take advantage of the enhanced sensitivity of homodyne detection in proximity of the optimal phase which maximizes the homodyne Fisher information.

A squeezed thermal probe state (signal) undergoes an unknown phase shift. The first estimation step involves interference on a beam splitter of the signal and a local oscillator followed by homodyne detection. Homodyne data is then processed to compute a rough estimation of the phase through Bayesian inference.

The rough estimation is fed back to the local oscillator in order to match the optimal relative phase with the signal. A second estimation step leads to the final estimation of the phase shift. Thermalization of the probe state prevents the attainability of the quantum Cramér-Rao bound. Nevertheless, we show that the studied adaptive scheme still saturates the classical Cramér-Rao bound, showing sub-shot noise behaviour and therefore extracting the maximum available information from homodyne data.

In contrast to previous approaches, our scheme is optimized for Gaussian states.

Language: English
Publisher: IEEE
Year: 2013
Pages: 1-1
Proceedings: 2013 Conference on Lasers & Electro-Optics Europe & the International Quantum Electronics Conference (CLEO/Europe-IQEC)
ISBN: 1479905925 , 1479905933 , 1479905941 , 9781479905928 , 9781479905935 and 9781479905942
Types: Conference paper
DOI: 10.1109/CLEOE-IQEC.2013.6801233
ORCIDs: Andersen, Ulrik Lund

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