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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Random unitaries in extremely low depth · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.07754/</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/2407.07754/feed.xml" rel="self" type="application/rss+xml" /><item><title>Random unitaries in extremely low depth — mentioned by qnleigh</title><link>https://news.ycombinator.com/item?id=45679225</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.07754:45679225</guid><pubDate>Thu, 23 Oct 2025 07:35:11 GMT</pubDate><description>&lt;p&gt;This excerpt misses the wider point of the paper. The paragraph immediately following the one you quote still does make claims of quantum advantage: &amp;quot;Our second order OTOC circuits introduce a minimal structure while remaining sufficiently generic that circumvents this challenge by exploiting the exponential advantage provided by including time inversion in the measurement protocol, see arXiv:2407.07754.&amp;quot; The advantage claimed by the paper isn&amp;#x27;t about Hamiltonian learning (i.e extracting model parameters from observational data), but instead about computing the expectation value of a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.07754/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>quant-ph</category></item></channel></rss>
