<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Beatrice Polacchi | LIP6 - Équipe QI</title><link>https://qi.lip6.fr/fr/people/beatrice-polacchi/</link><atom:link href="https://qi.lip6.fr/fr/people/beatrice-polacchi/index.xml" rel="self" type="application/rss+xml"/><description>Beatrice Polacchi</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>fr</language><copyright>© 2022 LIP6 Quantum Information Team</copyright><lastBuildDate>Sun, 24 Nov 2024 00:00:00 +0000</lastBuildDate><image><url>https://qi.lip6.fr/media/icon_hu_bdeccd9e706ea09d.png</url><title>Beatrice Polacchi</title><link>https://qi.lip6.fr/fr/people/beatrice-polacchi/</link></image><item><title>Experimental verifiable multi-client blind quantum computing on a Qline architecture</title><link>https://qi.lip6.fr/fr/publication/4800383-experimental-verifiable-multi-client-blind-quantum-computing-on-a-qline-architecture/</link><pubDate>Sun, 24 Nov 2024 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/publication/4800383-experimental-verifiable-multi-client-blind-quantum-computing-on-a-qline-architecture/</guid><description>&lt;p&gt;The exploitation of certification tools by end users represents a fundamental aspect of the development of quantum technologies as the hardware scales up beyond the regime of classical simulatability. Certifying quantum networks becomes even more crucial when the privacy of their users is exposed to malicious quantum nodes or servers as in the case of multi-client distributed blind quantum computing, where several clients delegate a joint private computation to remote quantum servers, such as federated quantum machine learning. In such protocols, security must be provided not only by keeping data hidden but also by verifying that the server is correctly performing the requested computation while minimizing the hardware assumptions on the employed devices. Notably, standard verification techniques fail in scenarios where the clients receive quantum states from untrusted sources such as, for example, in a recently demonstrated linear quantum network performing multi-client blind quantum computation. However, recent theoretical results provide techniques to verify blind quantum computations even in the case of untrusted state preparation. Equipped with such theoretical tools, in this work, we provide the first experimental implementation of a two-client verifiable blind quantum computing protocol in a distributed architecture. The obtained results represent novel perspectives for the verification of multi-tenant distributed quantum computation in large-scale networks.&lt;/p&gt;</description></item><item><title>Multi-client distributed blind quantum computation with the Qline architecture</title><link>https://qi.lip6.fr/fr/publication/4800461-multi-client-distributed-blind-quantum-computation-with-the-qline-architecture/</link><pubDate>Sat, 25 Nov 2023 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/publication/4800461-multi-client-distributed-blind-quantum-computation-with-the-qline-architecture/</guid><description>&lt;p&gt;Universal blind quantum computing allows users with minimal quantum resources to delegate a quantum computation to a remote quantum server, while keeping intrinsically hidden input, algorithm, and outcome. State-of-art experimental demonstrations of such a protocol have only involved one client. However, an increasing number of multi-party algorithms, e.g. federated machine learning, require the collaboration of multiple clients to carry out a given joint computation. In this work, we propose and experimentally demonstrate a lightweight multi-client blind quantum computation protocol based on a recently proposed linear quantum network configuration (Qline). Our protocol originality resides in three main strengths: scalability, since we eliminate the need for each client to have its own trusted source or measurement device, low-loss, by optimizing the orchestration of classical communication between each client and server through fast classical electronic control, and compatibility with distributed architectures while remaining intact even against correlated attacks of server nodes and malicious clients.&lt;/p&gt;</description></item><item><title>Multi-client distributed blind quantum computation with the Qline architecture</title><link>https://qi.lip6.fr/fr/publication/4284568-multi-client-distributed-blind-quantum-computation-with-the-qline-architecture/</link><pubDate>Tue, 14 Nov 2023 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/publication/4284568-multi-client-distributed-blind-quantum-computation-with-the-qline-architecture/</guid><description>&lt;p&gt;Universal blind quantum computing allows users with minimal quantum resources to delegate a quantum computation to a remote quantum server, while keeping intrinsically hidden input, algorithm, and outcome. State-of-art experimental demonstrations of such a protocol have only involved one client. However, an increasing number of multi-party algorithms, e.g. federated machine learning, require the collaboration of multiple clients to carry out a given joint computation. In this work, we propose and experimentally demonstrate a lightweight multi-client blind quantum computation protocol based on a novel linear quantum network configuration (Qline). Our protocol originality resides in three main strengths: scalability, since we eliminate the need for each client to have its own trusted source or measurement device, low-loss, by optimizing the orchestration of classical communication between each client and server through fast classical electronic control, and compatibility with distributed architectures while remaining intact even against correlated attacks of server nodes and malicious clients.&lt;/p&gt;</description></item><item><title>Beatrice Polacchi - Certification and privacy for quantum networks through hybrid photonics platforms</title><link>https://qi.lip6.fr/fr/seminars/2023-09-22-beatrice-polacchi/</link><pubDate>Fri, 22 Sep 2023 00:00:00 +0000</pubDate><guid>https://qi.lip6.fr/fr/seminars/2023-09-22-beatrice-polacchi/</guid><description>&lt;h2 id="certification-and-privacy-for-quantum-networks-through-hybrid-photonics-platforms"&gt;Certification and privacy for quantum networks through hybrid photonics platforms&lt;/h2&gt;
&lt;p&gt;Ce séminaire, donné par Beatrice Polacchi, aura lieu le 22 September 2023, à 12:0.
Il aura lieu en salle 24-25/405.&lt;/p&gt;
&lt;p&gt;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"&gt;ici&lt;/a&gt;.&lt;/p&gt;
&lt;h2 id="résumé"&gt;Résumé&lt;/h2&gt;
&lt;p&gt;Quantum networks are at the core of a flurry of quantum information tasks, such as quantum communication, quantum key distribution, and quantum computation, as well as the pillar of the future quantum internet. The most promising way to implement near-term quantum networks resides in using hybrid quantum technologies and taking advantage of different existing approaches. These can be represented, for instance, by different kinds of quantum state sources, various physical systems, and the employment of mixtures of classical and quantum hardware to achieve given tasks. However, most importantly, a user of future quantum networks should be equipped with protocols for the certification of their quantum devices, as well as with privacy when interacting with untrusted nodes.In this talk, I will report on three results related to these topics. First, I will show a concrete example of a hybrid building block platform for quantum network applications, represented by a quantum dot-based plug-and-play polarization-entangled photon source. Second, I will illustrate a machine learning-based approach for the device-independent certification of arbitrarily large and complex quantum networks. Such an approach can be used not only to optimize arbitrary functions over supersets of quantum correlations but also to lower-bound violations of Bell-like inequalities compatibly with experimentally observed sets of correlations. Finally, quantum networks are also pivotal to private collaborative delegated quantum computing tasks. A well-established example is blind quantum computing, which allows a user with minimal quantum resources to delegate a quantum computation to a remote quantum server while keeping private input, output, and details of the computation. In this context, I will report on an experimental proof-of-concept multi-client blind quantum computing protocol, implemented on an adaptive and modular linear photonic network. Such findings may represent significant building blocks for the realization of secure and efficient quantum networks, as well as contribute to establishing new milestones on the roadmap towards the quantum internet.&lt;/p&gt;</description></item></channel></rss>