{"id":287013,"date":"2025-07-24T04:34:14","date_gmt":"2025-07-24T04:34:14","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/287013\/"},"modified":"2025-07-24T04:34:14","modified_gmt":"2025-07-24T04:34:14","slug":"could-quantum-tech-be-a-game-changer-for-ai","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/287013\/","title":{"rendered":"Could quantum tech be a game changer for AI?"},"content":{"rendered":"<ul>\n<li><strong>Multiverse Computing is working on a new quantum-inspired model compression technology<\/strong><\/li>\n<li><strong>The company developed an AI model and makes it smaller without sacrificing too much of the performance<\/strong><\/li>\n<li><strong>The six-year-old company has raised roughly $262 million<\/strong><\/li>\n<\/ul>\n<p>What if large language models were just as powerful but a little less\u2026large? That\u2019s what Multiverse Computing is aiming to achieve using quantum technology.<\/p>\n<p>It might come across as buzzword soup \u2013 AI, LLM, quantum \u2013 but Multiverse\u2019s CTO Sam Mugel told Fierce the technology is real.<\/p>\n<p>\u201cWe developed an algorithm that takes an AI model and makes it smaller without sacrificing too much of the performance,\u201d he explained.<\/p>\n<p>But how, exactly? Mugel said it\u2019s a three-step process analogous to <a href=\"https:\/\/www.fierce-network.com\/cloud\/tiny-ai-poised-do-big-things\" target=\"_blank\" rel=\"noopener\">model pruning<\/a>.<\/p>\n<p>Multiverse first runs the AI model through a GPU-based algorithm it developed which simulates the quantum environment. It then reorganizes the model to put all the complexity and information it contains on as few nodes as possible and discards the parts of the model that aren\u2019t doing very much. And finally, there\u2019s a healing step, which is essentially a scaled down version of model training.<\/p>\n<p>Put it all together and you get a resulting compressed model that can fit on an iPhone. That\u2019s a big deal because it means the power of AI can be applied much more broadly. And as far as enterprises are concerned, it means they can run smaller AI models that are faster and cheaper than their larger counterparts.<\/p>\n<p>\u201cEveryone wants a piece of this,\u201d Mugel said, noting Multiverse has been approached by customers from verticals including telecom, finance, defense, manufacturing, automotive and energy. The nice part, he added, is that everyone is essentially asking for the same things \u2013 chatbots, RAG systems, agents \u2013 so Multiverse doesn\u2019t have to keep reinventing the wheel so to speak.<\/p>\n<p>There\u2019s also some serious money behind what Multiverse is doing. To date the six-year-old company has raised roughly $262 million (\u20ac223 million), with a $215 million (\u20ac189 million) <a href=\"https:\/\/multiversecomputing.com\/resources\/multiverse-computing-raises-usd215m-to-scale-ground-breaking-technology-that-compresses-llms-by\" target=\"_blank\" rel=\"noopener\">Series B<\/a> investment round last month following its $27.1 million (\u20ac25 million) <a href=\"https:\/\/multiversecomputing.com\/resources\/multiverse-computing-raises-oversubscribed-eur25-million-series-a-investment-round-to-advance\" target=\"_blank\" rel=\"noopener\">Series A<\/a> in March 2024.<\/p>\n<p>Everyone wants a piece of this.<\/p>\n<p>Sam Mugel, CTO, Multiverse Computing<\/p>\n<p>\u00a0<\/p>\n<p>And for good reason. J.Gold Associates Founder and Principal Jack Gold told Fierce that model compression is something everyone wants and is trying to achieve.<\/p>\n<p>\u201cThe biggest problem with LLMs today is that they\u2019re huge and it\u2019s really hard to run them on small devices,\u201d he explained. But shrinking them without sacrificing performance isn\u2019t easy. If it were, a company like OpenAI would have come out with a solution already, he pointed out.<\/p>\n<p>He added that today everyone is talking about AI running on an iPhone, but there\u2019s big a difference between using a connection to the cloud for that and running fully locally. The latter would certainly be a feat, but Gold said for now he\u2019s skeptical.<\/p>\n<p>\u00a0<\/p>\n<p>The proof is in the pudding. Show it to me running on an iPhone and then I\u2019ll believe you.<\/p>\n<p>Jack Gold, Founder and Principal, J.Gold Associates<\/p>\n<p>\u201cThat\u2019s the crux of the issue: how do I get it to a reasonable size to run fully locally,\u201d Gold said. \u201cThe proof is in the pudding. Show it to me running on an iPhone and then I\u2019ll believe you.\u201d<\/p>\n<p>\u00a0<\/p>\n<p>For what it\u2019s worth, Mugel said last month Multiverse met with one of its strategic investors to showcase its technology. That investor \u2013 an OEM \u2013 has been working on its own model compression technology, but found Multiverse\u2019s to perform significantly better. They ended up investing four times as much as they\u2019d initially planned, he said.<\/p>\n<p>\u201cThat was a really great tech validation for us \u2013 the fact that a world-leading company in this had tried to exactly the same thing as we\u2019re doing, failed at and then decided to invest in us,\u201d Mugel concluded.<\/p>\n","protected":false},"excerpt":{"rendered":"Multiverse Computing is working on a new quantum-inspired model compression technology The company developed an AI model and&hellip;\n","protected":false},"author":2,"featured_media":287014,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3164],"tags":[11480,14035,3284,30799,107198,100623,3591,53,16,15],"class_list":{"0":"post-287013","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-artificial-intelligence-ai","9":"tag-cloud","10":"tag-computing","11":"tag-fierce-network-homepage","12":"tag-jack-gold","13":"tag-large-language-model","14":"tag-quantum","15":"tag-technology","16":"tag-uk","17":"tag-united-kingdom"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/114906350496771399","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/287013","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=287013"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/287013\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/287014"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=287013"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=287013"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=287013"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}