{"version":"1.0","provider_name":"Silicon Saxony","provider_url":"https:\/\/silicon-saxony.de\/en\/","title":"DLR: Quantum AI for Classical Robots - Silicon Saxony","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"hsq7arRwBu\"><a href=\"https:\/\/silicon-saxony.de\/en\/dlr-quantum-ai-for-classical-robots\/\">DLR: Quantum AI for Classical Robots<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/silicon-saxony.de\/en\/dlr-quantum-ai-for-classical-robots\/embed\/#?secret=hsq7arRwBu\" width=\"600\" height=\"338\" title=\"&#8220;DLR: Quantum AI for Classical Robots&#8221; &#8212; Silicon Saxony\" data-secret=\"hsq7arRwBu\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n<\/script>\n","description":"October 6, 2026. The German Aerospace Center (DLR) has developed a method that allows the training advantages of future quantum AI to be leveraged even on classical, embedded hardware, such as in robotics. Quantum AI can learn faster and more effectively than classical AI. DLR researchers have succeeded in transferring the training results of a quantum AI to the hardware of a conventional robot. This opens up new, highly efficient, and more cost-effective avenues for AI in complex and dynamic tasks. These include, for example, machine learning, logistics, and Industry 4.0.","thumbnail_url":"https:\/\/cdn.pblzr.de\/dacbb27c-1270-4041-b681-e2b95f06f8a1\/2026\/10\/dlr-logo-400x300_1_TEXT.jpg"}