{"id":235481,"date":"2026-04-17T22:14:40","date_gmt":"2026-04-18T03:14:40","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/04\/quantum-informed-ai-improves-long-term-turbulence-forecasts-while-using-far-less-memory"},"modified":"2026-04-17T22:14:40","modified_gmt":"2026-04-18T03:14:40","slug":"quantum-informed-ai-improves-long-term-turbulence-forecasts-while-using-far-less-memory","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/04\/quantum-informed-ai-improves-long-term-turbulence-forecasts-while-using-far-less-memory","title":{"rendered":"Quantum-informed AI improves long-term turbulence forecasts while using far less memory"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/quantum-informed-ai-improves-long-term-turbulence-forecasts-while-using-far-less-memory2.jpg\"><\/a><\/p>\n<p>An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system over the long term than current best models that use only conventional computers, according to a new study led by UCL (University College London) researchers. The findings, <a href=\"https:\/\/www.science.org\/doi\/10.1126\/sciadv.aec5049\" target=\"_blank\">published<\/a> in the journal <i>Science Advances<\/i>, could improve models predicting how liquids and gases move and interact (fluid dynamics), used in areas ranging from climate science to transport, medicine and energy generation.<\/p>\n<p>The researchers say the improved performance is linked to a quantum device\u2019s ability to hold a large amount of information more efficiently. That is because instead of bits that are switched on or off, 1 or 0, as in a classical computer, the quantum computer\u2019s qubits can be 1, 0, or any state in between, and each qubit can affect any of the other qubits\u2014meaning a few qubits can generate a vast number of possible states.<\/p>\n<p>Senior author Professor Peter Coveney, based in UCL Chemistry and the Advanced Research Computing Center at UCL, said, To make predictions about complex systems, we can either run a full simulation, which might take weeks\u2014often too long to be useful\u2014or we can use an AI model, which is quicker but more unreliable over longer time scales.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system over the long term than current best models that use only conventional computers, according to a new study led by UCL (University College London) researchers. The findings, published in the journal Science Advances, could improve [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1617,6],"tags":[],"class_list":["post-235481","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-quantum-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/235481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=235481"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/235481\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=235481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=235481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=235481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}