<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Luís Bugalho | LIP6 - Équipe QI</title><link>https://qi.lip6.fr/fr/people/luis-bugalho/</link><atom:link href="https://qi.lip6.fr/fr/people/luis-bugalho/index.xml" rel="self" type="application/rss+xml"/><description>Luís Bugalho</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>fr</language><copyright>© 2022 LIP6 Quantum Information Team</copyright><lastBuildDate>Fri, 28 Mar 2025 00:00:00 +0000</lastBuildDate><image><url>https://qi.lip6.fr/media/icon_hudf2fdaa51677944daa4f50609104ef9a_13950_512x512_fill_lanczos_center_3.png</url><title>Luís Bugalho</title><link>https://qi.lip6.fr/fr/people/luis-bugalho/</link></image><item><title>Luís Bugalho - Not specified</title><link>https://qi.lip6.fr/fr/seminars/2025-03-28-luis-bugalho/</link><pubDate>Fri, 28 Mar 2025 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/seminars/2025-03-28-luis-bugalho/</guid><description>&lt;h2 id="not-specified">Not specified&lt;/h2>
&lt;p>Ce séminaire, donné par Luís Bugalho, aura lieu le 28 March 2025, à 15:0.
Il aura lieu en salle Not specified.&lt;/p>
&lt;p>Vous trouverez un plan du campus &lt;a href="https://sciences.sorbonne-universite.fr/vie-de-campus-sciences/accueil-vie-pratique/plan-du-campus" target="_blank" rel="noopener">ici&lt;/a>.&lt;/p>
&lt;h2 id="résumé">Résumé&lt;/h2>
&lt;p>Not specified&lt;/p></description></item><item><title>Private and Robust States for Distributed Quantum Sensing</title><link>https://qi.lip6.fr/fr/publication/4803640-private-and-robust-states-for-distributed-quantum-sensing/</link><pubDate>Wed, 31 Jul 2024 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/publication/4803640-private-and-robust-states-for-distributed-quantum-sensing/</guid><description>&lt;p>Distributed quantum sensing enables the estimation of multiple parameters encoded in spatially separated probes. While traditional quantum sensing is often focused on estimating a single parameter with maximum precision, distributed quantum sensing seeks to estimate some function of multiple parameters that are only locally accessible for each party involved. In such settings it is natural to not want to give away more information than is necessary. To address this, we use the concept of privacy with respect to a function, ensuring that only information about the target function is available to all the parties, and no other information. We define a measure of privacy (essentially how close we are to this condition being satisfied), and show it satisfies a set of naturally desirable properties of such a measure. Using this privacy measure, we identify and construct entangled resources states that ensure privacy for a given function under different resource distributions and encoding dynamics, characterized by Hamiltonian evolution. For separable and parallel Hamiltonians, we prove that the GHZ state is the only private state for certain linear functions, with the minimum amount of required resources, up to SLOCC. Recognizing the vulnerability of this state to particle loss, we create families of private states, that remain robust even against loss of qubits, by incorporating additional resources. We then extend our findings to different resource distribution scenarios and Hamiltonians, resulting in a comprehensive set of private and robust states for distributed quantum estimation. These results advance the understanding of privacy and robustness in multi-parameter quantum sensing.&lt;/p></description></item></channel></rss>