<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Suppressing quantum errors by scaling a surface code logical qubit · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2207.06431/</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/2207.06431/feed.xml" rel="self" type="application/rss+xml" /><item><title>Suppressing quantum errors by scaling a surface code logical qubit — mentioned by Strilanc</title><link>https://news.ycombinator.com/item?id=47603106</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.06431:47603106</guid><pubDate>Wed, 01 Apr 2026 16:31:47 GMT</pubDate><description>&lt;p&gt;&amp;gt; [0.1% gate error rate] is still wildly out of reach This is false. When Fowler et al assumed 0.1% gate error rates would be reached for his estimates in 2012 [0], that was ostentatious. Now it&amp;#x27;s frankly a bit overly conservative. All the big architectures are approaching or surpassing 0.1% gate error rates. From 2022 to 2024, the google team improved mean two qubit gate error rate from 0.6% [1] to 0.4% [2]. Quantinuum&amp;#x27;s Helios has a two qubit gate error rate of 0.08% [3]. IBM has Heron processors available on their cloud service with two qubit gate error rates ranging from 0.2% to 0.7% [4].…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.06431/"&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>Suppressing quantum errors by scaling a surface code logical qubit — mentioned by da-bacon</title><link>https://news.ycombinator.com/item?id=38523522</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.06431:38523522</guid><pubDate>Mon, 04 Dec 2023 21:42:28 GMT</pubDate><description>&lt;p&gt;Yes, for some definition of logical qubit. One of the first example is the experiment of Egan et al where they demonstrated a fault-tolerant QEC measurement using 13 physical qubits. https://arxiv.org/abs/2009.11482 They show improvements in the logical performance on the codes, but it is still a pretty small improvement (factor of 2). Another example is the experiment we performed at Google https://arxiv.org/abs/2207.06431 where we used superconducting qubits. In that experiment we showed that we were able to go from a small code to a slightly larger code and that the error got &amp;quot;slightly…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.06431/"&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>Suppressing quantum errors by scaling a surface code logical qubit — mentioned by s1dev</title><link>https://news.ycombinator.com/item?id=32216135</link><guid isPermaLink="false">urn:hackerpapers:mention:2207.06431:32216135</guid><pubDate>Sun, 24 Jul 2022 18:18:06 GMT</pubDate><description>&lt;p&gt;More or less, we&amp;#x27;re just before the finish line. About 20% lower noise and we&amp;#x27;ll be there. For every little bit past that, the overhead gets reduced immensely https://arxiv.org/abs/2207.06431&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2207.06431/"&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>
