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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SMILES-Inspired Transfer Learning for Quantum Operators in Generative Quantum Eigensolver · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2509.19715/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2509.19715/feed.xml" rel="self" type="application/rss+xml" /><item><title>SMILES-Inspired Transfer Learning for Quantum Operators in Generative Quantum Eigensolver — HN submission</title><link>https://news.ycombinator.com/item?id=45669148</link><guid isPermaLink="false">urn:hackerpapers:submission:2509.19715:45669148</guid><pubDate>Wed, 22 Oct 2025 13:50:41 GMT</pubDate><description>&lt;p&gt;Show HN: Transfer Learning Boosts GQE Accelerating Drug Discovery in the NISQEra&lt;/p&gt;&lt;p&gt;ISCA Workshop Paper: Integration of Quantum Computing and AI, Transfer Learning Boosts GQE, Accelerating Drug Discovery in the NISQ Era In June 2025, at the International Symposium on Computer Architecture (ISCA)—one of the top-tier academic conferences in computer architecture—and the 4th International Workshop on Quantum-Classical Collaborative Computing (QCCC-25), a collaborative research effort by QureGenAI, Ningbo University of Engineering, and China Pharmaceutical University was presented. The paper, titled &amp;quot;SMILES-Inspired Transfer Learning for Quantum Operator Pools in Generative…&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2509.19715/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>physics.chem-ph</category></item></channel></rss>
