Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 71 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 17 tok/s Pro
GPT-4o 111 tok/s Pro
Kimi K2 161 tok/s Pro
GPT OSS 120B 412 tok/s Pro
Claude Sonnet 4 35 tok/s Pro
2000 character limit reached

Quantum non-Gaussianity based on amplified photon statistics (2509.20492v1)

Published 24 Sep 2025 in quant-ph

Abstract: Amplification is an essential part of quantum processing and detection that allows for reducing subsequent loss and noise. However, the intensive amplification transfers individual discrete quanta to a detected continuous signal, so Fock probabilities of the unknown input state are not readily available. To solve this issue, we directly derive and analyze a quantum non-Gaussianity witness based on the photon number mean and variance (or alternatively, the second-order correlation $g{(2)}$) of the unknown state, which can be inferred from post-amplification integrated intensity moments. Since this new witness is based on first and second moments only, measurement results are easy to correct for losses and additive noise.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 post and received 1 like.