<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine-Learning on akscape</title><link>https://www.akscape.com/tags/machine-learning/</link><description>Recent content in Machine-Learning on akscape</description><generator>Hugo</generator><language>en</language><copyright>Arun Kumar Venkitaraman</copyright><lastBuildDate>Sat, 03 Oct 2026 23:54:11 +0530</lastBuildDate><atom:link href="https://www.akscape.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Quantum AI's Real Bottleneck Isn't Qubits</title><link>https://www.akscape.com/learn/artificial-intelligence/quantum-ais-real-bottleneck-isnt-qubits/</link><pubDate>Sat, 03 Oct 2026 23:50:00 +0530</pubDate><guid>https://www.akscape.com/learn/artificial-intelligence/quantum-ais-real-bottleneck-isnt-qubits/</guid><description>&lt;p&gt;Every few months there&amp;rsquo;s a new headline about quantum computers getting more qubits. More qubits, more power, and quantum AI is just around the corner. Or so it seems.&lt;/p&gt;
&lt;p&gt;But the more I read, the more I think we&amp;rsquo;re watching the wrong number. The biggest blocker to quantum AI isn&amp;rsquo;t the number of qubits. It&amp;rsquo;s that there&amp;rsquo;s no efficient way to get our data &lt;em&gt;into&lt;/em&gt; a quantum computer in the first place.&lt;/p&gt;</description></item></channel></rss>