# Characterizing photon number statistics using conjugate optical homodyne   detection

**Authors:** Bing Qi, Pavel Lougovski, Brian P. Williams

arXiv: 1702.02558 · 2020-01-29

## TL;DR

This paper investigates how to determine photon number statistics of unknown quantum states using conjugate optical homodyne detection, addressing quantum noise limitations and potential quantum communication applications.

## Contribution

It introduces a method to recover photon number statistics from conjugate quadrature measurements without phase scanning or randomization, enhancing quantum state characterization.

## Key findings

- Photon number statistics can be reconstructed from conjugate quadrature data.
- The method works without phase scanning or phase randomization.
- Potential applications in quantum key distribution are discussed.

## Abstract

We study the problem of determining the photon number statistics of an unknown quantum state by simultaneously measuring conjugate quadratures with double homodyne detectors. Classically, the sum of the squared outputs of the two homodyne detectors is proportional to the intensity (thus the photon number) of the input light. Quantum mechanically, due to vacuum noise, the above photon number measurement is intrinsically noisy. We quantify the information gain in a single-shot measurement and discuss potential applications of this technology in quantum key distribution. We also show that the photon number statistics can be recovered in repeated measurements on an ensemble of identical input states without scanning the phase of the input state or randomizing the phase of the local oscillator used in homodyne detection.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1702.02558/full.md

## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1702.02558/full.md

## References

52 references — full list in the complete paper: https://tomesphere.com/paper/1702.02558/full.md

---
Source: https://tomesphere.com/paper/1702.02558