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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quantum Machine Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.09347/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1611.09347/feed.xml" rel="self" type="application/rss+xml" /><item><title>Quantum Machine Learning — mentioned by jessriedel</title><link>https://news.ycombinator.com/item?id=15479597</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.09347:15479597</guid><pubDate>Sun, 15 Oct 2017 22:05:50 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s a lot of work on this, although no breakthrough applications yet. ------ &amp;quot;Quantum Machine Learning&amp;quot; Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, Seth Lloyd Recent progress implies that a crossover between machine learning and quantum information processing benefits both fields. Traditional machine learning has dramatically improved the benchmarking and control of experimental quantum computing systems, including adaptive quantum phase estimation and designing quantum computing gates. On the other hand, quantum mechanics offers tantalizing prospects…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.09347/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>quant-ph</category></item><item><title>Quantum Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=15446316</link><guid isPermaLink="false">urn:hackerpapers:submission:1611.09347:15446316</guid><pubDate>Wed, 11 Oct 2017 00:17:13 GMT</pubDate><description>&lt;p&gt;Quantum Machine Learning [pdf]&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;53 points; 14 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1611.09347/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>quant-ph</category></item><item><title>Quantum Machine Learning — HN submission</title><link>https://news.ycombinator.com/item?id=13071480</link><guid isPermaLink="false">urn:hackerpapers:submission:1611.09347:13071480</guid><pubDate>Wed, 30 Nov 2016 15:30:52 GMT</pubDate><description>&lt;p&gt;Quantum Machine Learning (Submitted on 28 Nov 2016)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1611.09347/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>quant-ph</category></item></channel></rss>
