<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://paulbagourd.gitlab.io/</id><title>Paul Bagourd</title><subtitle>A minimal, responsive and feature-rich Jekyll theme for technical writing.</subtitle> <updated>2026-09-28T15:37:53+02:00</updated> <author> <name>paul bagourd</name> <uri>https://paulbagourd.gitlab.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://paulbagourd.gitlab.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://paulbagourd.gitlab.io/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 paul bagourd </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Patent Analytics at Dtangle</title><link href="https://paulbagourd.gitlab.io/posts/patent-analytics-at-dtangle/" rel="alternate" type="text/html" title="Patent Analytics at Dtangle" /><published>2026-09-28T12:00:00+02:00</published> <updated>2026-09-28T12:00:00+02:00</updated> <id>https://paulbagourd.gitlab.io/posts/patent-analytics-at-dtangle/</id> <content src="https://paulbagourd.gitlab.io/posts/patent-analytics-at-dtangle/" /> <author> <name>Paul Bagourd</name> </author> <category term="Projects" /> <category term="Industry" /> <summary>An overview of the patent-analytics work I do at Dtangle: turning patent and scientific literature into structured, traceable evidence for IP decisions.</summary> </entry> <entry><title>GNNs for Technology Monitoring</title><link href="https://paulbagourd.gitlab.io/posts/gnns-for-technology-monitoring/" rel="alternate" type="text/html" title="GNNs for Technology Monitoring" /><published>2026-04-13T12:00:00+02:00</published> <updated>2026-04-13T12:00:00+02:00</updated> <id>https://paulbagourd.gitlab.io/posts/gnns-for-technology-monitoring/</id> <content src="https://paulbagourd.gitlab.io/posts/gnns-for-technology-monitoring/" /> <author> <name>Paul Bagourd</name> </author> <category term="Projects" /> <category term="Research" /> <summary>This project presents a graph-neural-network approach to technology monitoring and prediction of emerging technologies.</summary> </entry> <entry><title>Practical Challenges in Executing Shor’s Algorithm on Existing Quantum Platforms</title><link href="https://paulbagourd.gitlab.io/posts/tqe/" rel="alternate" type="text/html" title="Practical Challenges in Executing Shor’s Algorithm on Existing Quantum Platforms" /><published>2025-12-01T01:00:00+01:00</published> <updated>2026-02-03T13:50:50+01:00</updated> <id>https://paulbagourd.gitlab.io/posts/tqe/</id> <content src="https://paulbagourd.gitlab.io/posts/tqe/" /> <author> <name>Paul Bagourd, Julian Jang-Jaccard, Vincent Lenders, Alain Mermoud, Torsten Hoefler, and Cornelius Hempel</name> </author> <category term="Projects" /> <summary>We experimentally study what Shor’s algorithm can realistically achieve on today’s cloud-accessible quantum computers, and why cryptographically relevant factoring remains out of reach for now.</summary> </entry> <entry><title>Neural Data Compression</title><link href="https://paulbagourd.gitlab.io/posts/neural-data-compression/" rel="alternate" type="text/html" title="Neural Data Compression" /><published>2024-07-14T12:30:00+02:00</published> <updated>2024-07-14T12:30:00+02:00</updated> <id>https://paulbagourd.gitlab.io/posts/neural-data-compression/</id> <content src="https://paulbagourd.gitlab.io/posts/neural-data-compression/" /> <author> <name>me</name> </author> <category term="Projects" /> <category term="Research" /> <summary>This post presents my master&amp;#39;s thesis done at EPFL. We investigate various ANN architectures to efficiently compress text and images.</summary> </entry> <entry><title>Simple rules for two-photon state preparation with linear optics</title><link href="https://paulbagourd.gitlab.io/posts/internship/" rel="alternate" type="text/html" title="Simple rules for two-photon state preparation with linear optics" /><published>2024-02-01T11:30:00+01:00</published> <updated>2025-01-22T20:06:50+01:00</updated> <id>https://paulbagourd.gitlab.io/posts/internship/</id> <content src="https://paulbagourd.gitlab.io/posts/internship/" /> <author> <name>Grégoire de Gliniasty, Paul Bagourd, Sébastien Draux, Boris Bourdoncle</name> </author> <category term="Projects" /> <category term="Research" /> <summary>Quantum photonic state generation is an crucial topic in Photonic Quantum Computing. This article is the work achievment of my internship at Quandela, a leading quantum computing technology based in Paris. The objective is to characterise the types of two-photon states that can be prepared with linear-optical operations. Finding necessary and sufficient conditions for such operations has applic...</summary> </entry> </feed>
