<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: blueray313164</title><link>https://news.ycombinator.com/user?id=blueray313164</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 09 Sep 2026 17:59:36 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=blueray313164" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by blueray313164 in "Quantum Drive Solver"]]></title><description><![CDATA[
<p>title: Quantum Drive Solver
url: <a href="https://github.com/blueray313164-a11y/Quantum-Drive-Solver" rel="nofollow">https://github.com/blueray313164-a11y/Quantum-Drive-Solver</a>
text: Quantum-Drive-Solver: High-performance optimization engine for large datasets and quantum systems. Generates logs for energy, residual in just a few minutes and using little RAM.<p>Fast convergence on complex optimization problems with minimal residual and low RAM consumption.<p>Public functional repo. Logs show convergence from -2.99 to -3.86 with residual of 0.00001.</p>
]]></description><pubDate>Fri, 04 Sep 2026 21:19:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=49570367</link><dc:creator>blueray313164</dc:creator><comments>https://news.ycombinator.com/item?id=49570367</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49570367</guid></item><item><title><![CDATA[Quantum Drive Solver]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/blueray313164-a11y/Quantum-Drive-Solver">https://github.com/blueray313164-a11y/Quantum-Drive-Solver</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49570366">https://news.ycombinator.com/item?id=49570366</a></p>
<p>Points: 2</p>
<p># Comments: 2</p>
]]></description><pubDate>Fri, 04 Sep 2026 21:19:58 +0000</pubDate><link>https://github.com/blueray313164-a11y/Quantum-Drive-Solver</link><dc:creator>blueray313164</dc:creator><comments>https://news.ycombinator.com/item?id=49570366</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49570366</guid></item><item><title><![CDATA[Show HN: Meg – I processed 259M nodes on my laptop using 6.91MB RAM]]></title><description><![CDATA[
<p>I got tired of MemoryError crashes. So I built MEG: MemoryError Gone.<p>What it does: An optimization engine for massive multi-body problems.
Made to run huge problems on normal hardware.<p>The result:
Grid: 120x120x120 
Total Nodes: 259,200,000
Peak RAM Usage: 6.91 MB
Status: Processing complete - No MemoryError<p>It's just Python. No cloud, no cluster, just a laptop.<p>Repo: <a href="https://github.com/blueray313164-a11y/Quantum-Drive-Solver" rel="nofollow">https://github.com/blueray313164-a11y/Quantum-Drive-Solver</a>
Repo has more details and benchmark from Google Colab.<p>Your code crashes your system? I’ll run it for you and give you results fast.
DMs open</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=49384910">https://news.ycombinator.com/item?id=49384910</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 21 Aug 2026 07:25:35 +0000</pubDate><link>https://github.com/blueray313164-a11y/Quantum-Drive-Solver</link><dc:creator>blueray313164</dc:creator><comments>https://news.ycombinator.com/item?id=49384910</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49384910</guid></item></channel></rss>