Abstract

Quantum tomography is the standard method of reconstructing the Wigner function of quantum states of light by means of balanced homodyne detection. The reconstruction quality strongly depends on the photodetectors quantum efficiency and other losses in the measurement setup. In this article we analyze in detail a protocol of enhanced quantum tomography, proposed by Leonhardt and Paul [] which allows one to reduce the degrading effect of detection losses. It is based on phase-sensitive parametric amplification, with the phase of the amplified quadrature being scanned synchronously with the local oscillator phase. Although with sufficiently strong amplification the protocol enables overcoming any detection inefficiency, it was so far not implemented in the experiment, probably due to the losses in the amplifier. Here we discuss a possible proof-of-principle experiment with a traveling-wave parametric amplifier. We show that with the state-of-the-art optical elements, the protocol enables high fidelity tomographic reconstruction of bright non-classical states of light. We consider two examples: bright squeezed vacuum and squeezed single-photon state, with the latter being a non-Gaussian state and both strongly affected by the losses.

Highlights

  • We have studied the protocol for the enhancement of the Wigner function tomography with real-world balanced homodyne detectors

  • We show that with this pre-amplification being sufficiently strong, one can reconstruct the quantum state close to the input one for any reasonable value of the detection loss

  • This protocol enables the observation of the Wigner function negativity for a singlephoton state under less than 50% detector efficiency

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Summary

January 2018

It is based on phase-sensitive and DOI. We show that with the state-of-the-art optical elements, the protocol enables high fidelity tomographic reconstruction of bright non-classical states of light.

Introduction
Homodyne tomography
Enhanced homodyne tomography
Performance and estimates
SSP state
Findings
Conclusion
Full Text
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