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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning quantum Hamiltonians at any temperature in polynomial time · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.02243/</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/2310.02243/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning quantum Hamiltonians at any temperature in polynomial time — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=42936021</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.02243:42936021</guid><pubDate>Tue, 04 Feb 2025 17:53:25 GMT</pubDate><description>&lt;p&gt;Parameter estimation algorithms: &amp;quot;Learning quantum Hamiltonians at any temperature in polynomial time&amp;quot; (2024) https://arxiv.org/abs/2310.02243 .. https://news.ycombinator.com/item?id=40396171 &amp;quot;Robustly learning Hamiltonian dynamics of a superconducting quantum processor&amp;quot; (2024) https://www.nature.com/articles/s41467-024-52629-3 .. https://news.ycombinator.com/item?id=42086445&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.02243/"&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>Learning quantum Hamiltonians at any temperature in polynomial time — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=42229875</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.02243:42229875</guid><pubDate>Sun, 24 Nov 2024 19:37:18 GMT</pubDate><description>&lt;p&gt;From https://news.ycombinator.com/item?id=42030319 : &amp;gt; &amp;quot;Learning quantum Hamiltonians at any temperature in polynomial time&amp;quot; (2024) https://arxiv.org/abs/2310.02243 re: the &amp;quot;relaxation technique&amp;quot; .. https://news.ycombinator.com/item?id=40396171 &amp;gt;&amp;gt; We fully resolve this problem, giving a polynomial time algorithm for learning H to precision ϵ from polynomially many copies of the Gibbs state at any constant β&amp;gt;0. &amp;gt;&amp;gt; Our main technical contribution is a new flat polynomial approximation to the exponential function, and a translation between multi-variate scalar polynomials and nested commutators.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.02243/"&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>Learning quantum Hamiltonians at any temperature in polynomial time — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=42030319</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.02243:42030319</guid><pubDate>Sun, 03 Nov 2024 00:33:50 GMT</pubDate><description>&lt;p&gt;From &amp;quot;Chaos researchers can now predict perilous points of no return&amp;quot; (2022) https://news.ycombinator.com/item?id=32862414 : &amp;gt; FEM: Finite Element Method: https://en.wikipedia.org/wiki/Finite_element_method &amp;gt;&amp;gt; FEM: Finite Element Method (for ~solving coupled PDEs (Partial Differential Equations)) &amp;gt;&amp;gt; FEA: Finite Element Analysis (applied FEM) &amp;gt; awesome-mecheng &amp;gt; Finite Element Analysis: https://github.com/m2n037/awesome-mecheng#fea And also, &amp;quot;Learning quantum Hamiltonians at any temperature in polynomial time&amp;quot; (2024) https://arxiv.org/abs/2310.02243 re: the &amp;quot;relaxation technique&amp;quot; ..…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.02243/"&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>Learning quantum Hamiltonians at any temperature in polynomial time — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=40964837</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.02243:40964837</guid><pubDate>Mon, 15 Jul 2024 02:31:59 GMT</pubDate><description>&lt;p&gt;- &amp;quot;Learning quantum Hamiltonians at any temperature in polynomial time&amp;quot; (2024) https://arxiv.org/abs/2310.02243 .. https://news.ycombinator.com/item?id=40396171 - &amp;quot;Bridging coherence optics and classical mechanics: A generic light polarization-entanglement complementary relation&amp;quot; (2023) https://journals.aps.org/prresearch/abstract/10.1103/PhysRev... .. https://news.ycombinator.com/item?id=40492160 re photonic phase&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.02243/"&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>Learning quantum Hamiltonians at any temperature in polynomial time — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=40478219</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.02243:40478219</guid><pubDate>Sat, 25 May 2024 22:09:49 GMT</pubDate><description>&lt;p&gt;From &amp;quot;Computer-generated holography with ordinary display&amp;quot; (2024) https://opg.optica.org/viewmedia.cfm?r=1&amp;amp;rwjcode=ol&amp;amp;uri=ol-4... : &amp;gt; The hologram cascade is synthesized by solving an inverse problem with respect to the propagation of incoherent light. From &amp;quot;Learning quantum Hamiltonians at any temperature in polynomial time&amp;quot; (2024) https://arxiv.org/abs/2310.02243 .. https://news.ycombinator.com/item?id=40396171 : &amp;gt;&amp;gt; The relaxation technique is well known in the field of approximation algorithms, but it had never been tried in quantum learning. Relaxation (iterative method)…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.02243/"&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>Learning quantum Hamiltonians at any temperature in polynomial time — HN submission</title><link>https://news.ycombinator.com/item?id=40396162</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.02243:40396162</guid><pubDate>Sat, 18 May 2024 02:51:37 GMT</pubDate><description>&lt;p&gt;Learning quantum Hamiltonians at any temperature in polynomial time&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.02243/"&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>
