Evaluating analytic gradients on quantum hardware · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1811.11184/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTEvaluating analytic gradients on quantum hardware — mentioned by infinitewalkhttps://news.ycombinator.com/item?id=18695534urn:hackerpapers:mention:1811.11184:18695534Sun, 16 Dec 2018 22:01:04 GMT<p>I&#x27;m one of the developers on PennyLane, a cross-platform Python library for quantum machine learning (QML), automatic differentiation, and optimization of hybrid quantum-classical computations. For a while now, QML has been getting a lot of hype --- at the Quantum2Business conference the other day, a quote that made the rounds was &quot;QML: most overhyped and underestimated field at the same time&quot; (attributed to Iordanis Kerenidis, I believe). However, current research has been showing a lot of promise, especially as an application for near-term quantum devices, that doesn&#x27;t require an…</p><p><a href="https://hackerpaper.kaipfister.de/p/1811.11184/">Paper and discussion history</a>. A mention is not an endorsement.</p>quant-ph