<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Eliott Z. Mamon | LIP6 - Équipe QI</title><link>https://qi.lip6.fr/fr/people/eliott-z.-mamon/</link><atom:link href="https://qi.lip6.fr/fr/people/eliott-z.-mamon/index.xml" rel="self" type="application/rss+xml"/><description>Eliott Z. Mamon</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>fr</language><copyright>© 2022 LIP6 Quantum Information Team</copyright><lastBuildDate>Wed, 10 Dec 2025 00:00:00 +0000</lastBuildDate><image><url>https://qi.lip6.fr/media/icon_hu_bdeccd9e706ea09d.png</url><title>Eliott Z. Mamon</title><link>https://qi.lip6.fr/fr/people/eliott-z.-mamon/</link></image><item><title>Orbit dimensions in linear and Gaussian quantum optics</title><link>https://qi.lip6.fr/fr/publication/5409639-orbit-dimensions-in-linear-and-gaussian-quantum-optics/</link><pubDate>Wed, 10 Dec 2025 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/publication/5409639-orbit-dimensions-in-linear-and-gaussian-quantum-optics/</guid><description>&lt;p&gt;Added details on homodyne measurements approach, and fixed typos&lt;/p&gt;</description></item><item><title>Towards quantum advantage with photonic state injection</title><link>https://qi.lip6.fr/fr/publication/4800367-towards-quantum-advantage-with-photonic-state-injection/</link><pubDate>Sun, 24 Nov 2024 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/publication/4800367-towards-quantum-advantage-with-photonic-state-injection/</guid><description>&lt;p&gt;We propose a new scheme for near-term photonic quantum device that allows to increase the expressive power of the quantum models beyond what linear optics can do. This scheme relies upon state injection, a measurement-based technique that can produce states that are more controllable, and solve learning tasks that are not believed to be tackled classically. We explain how circuits made of linear optical architectures separated by state injections are keen for experimental implementation. In addition, we give theoretical results on the evolution of the purity of the resulting states, and we discuss how it impacts the distinguishability of the circuit outputs. Finally, we study a computational subroutines of learning algorithms named probability estimation, and we show the state injection scheme we propose may offer a potential quantum advantage in a regime that can be more easily achieved that state-of-the-art adaptive techniques. Our analysis offers new possibilities for near-term advantage that require to tackle fewer experimental difficulties.&lt;/p&gt;</description></item></channel></rss>