{"id":124599,"date":"2025-09-07T03:06:23","date_gmt":"2025-09-07T03:06:23","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/124599\/"},"modified":"2025-09-07T03:06:23","modified_gmt":"2025-09-07T03:06:23","slug":"ai-helps-assemble-brain-of-future-quantum-computer","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/124599\/","title":{"rendered":"AI helps assemble \u2018brain\u2019 of future quantum computer"},"content":{"rendered":"<p> <img decoding=\"async\" class=\"figure__image\" alt=\"Quantum computing qubits arranged in a grid standing on a hexagonal lit background.\" loading=\"lazy\" src=\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/d41586-025-02577-9_51345922.jpg\"\/><\/p>\n<p class=\"figure__caption u-sans-serif\">Quantum computing qubits are arranged in a grid in this artist\u2019s illustration.Credit: Getty<\/p>\n<p>Artificial intelligence (AI) tools are increasingly helping scientists to <a href=\"https:\/\/www.nature.com\/articles\/d41586-025-01463-8\" data-track=\"click\" data-label=\"https:\/\/www.nature.com\/articles\/d41586-025-01463-8\" data-track-category=\"body text link\" rel=\"nofollow noopener\" target=\"_blank\">write papers<\/a>, <a href=\"https:\/\/www.nature.com\/articles\/d41586-024-03676-9\" data-track=\"click\" data-label=\"https:\/\/www.nature.com\/articles\/d41586-024-03676-9\" data-track-category=\"body text link\" rel=\"nofollow noopener\" target=\"_blank\">conduct literature reviews<\/a> and even <a href=\"https:\/\/www.nature.com\/articles\/d41586-024-00093-w\" data-track=\"click\" data-label=\"https:\/\/www.nature.com\/articles\/d41586-024-00093-w\" data-track-category=\"body text link\" rel=\"nofollow noopener\" target=\"_blank\">design laboratory experiments<\/a>. Now researchers can add optimizing quantum computing to the list.<\/p>\n<p>A team has used an AI model to calculate the best way to rapidly assemble a grid of atoms that might one day serve as the \u2018brain\u2019 of a <a href=\"https:\/\/www.nature.com\/articles\/d41586-019-02936-3\" data-track=\"click\" data-label=\"https:\/\/www.nature.com\/articles\/d41586-019-02936-3\" data-track-category=\"body text link\" rel=\"nofollow noopener\" target=\"_blank\">quantum computer<\/a>. To show just how quickly the model can re-shuffle the atoms, the team also used the system to create a tiny animation of Schr\u00f6dinger\u2019s cat. The work was reported last week in Physical Review Letters<a href=\"#ref-CR1\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">1<\/a>.<\/p>\n<p>Study co-author Jian-Wei Pan, a physicist at the University of Science and Technology of China in Hefei, says the team became interested in using AI to speed up the building these \u2018<a href=\"https:\/\/www.nature.com\/articles\/d41586-025-00451-2\" data-track=\"click\" data-label=\"https:\/\/www.nature.com\/articles\/d41586-025-00451-2\" data-track-category=\"body text link\" rel=\"nofollow noopener\" target=\"_blank\">neutral atom arrays\u2019<\/a> after one of his former students got a job in an AI laboratory. \u201cAI for science is emerging as a powerful paradigm for addressing complex scientific problems,\u201d he says. One of the big challenges in using arrays of atoms for quantum computing is working out how to rearrange them in an \u201cefficient, fast and scalable manner\u201d, Pan says. AI solved that problem for the team \u2014 and did it quickly.<\/p>\n<p>Playing with atoms<\/p>\n<p>Classical computers carry out operations using binary digits, or bits, encoded as a 1 or 0. Quantum computers use qubits, which can be put into a \u2018superposition\u2019, in which the two states \u2014 1 and 0 \u2014 exist simultaneously. Calculations involve entangling qubits, which means that their states become linked.<\/p>\n<p><a href=\"https:\/\/www.nature.com\/articles\/d41586-024-03288-3\" class=\"u-link-inherit\" data-track=\"click\" data-track-label=\"recommended article\" rel=\"nofollow noopener\" target=\"_blank\"><img decoding=\"async\" class=\"recommended__image\" alt=\"\" src=\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/d41586-025-02577-9_27717388.jpg\"\/><\/p>\n<p class=\"recommended__title u-serif\">Google uncovers how quantum computers can beat today\u2019s best supercomputers<\/p>\n<p><\/a><\/p>\n<p>Researchers have been creating qubits with materials such as superconducting circuits, <a href=\"https:\/\/www.nature.com\/articles\/d41586-020-03237-w\" data-track=\"click\" data-label=\"https:\/\/www.nature.com\/articles\/d41586-020-03237-w\" data-track-category=\"body text link\" rel=\"nofollow noopener\" target=\"_blank\">trapped ions<\/a> and grids of neutral atoms, which are prized for their ability to maintain their quantum states over a relatively long time. To use the atoms as qubits, scientists trap them with laser light and then store quantum information in the energy levels of their electrons.<\/p>\n<p>The hope is that if you use enough atoms, a quantum computer will one day overcome the errors that often plague these systems \u2014 and eventually perform calculations that aren\u2019t feasible for classical computers.<\/p>\n<p>Pan and his colleagues trained their AI model by showing it how various distributions of rubidium atoms could be nudged into a range of grid configurations using different patterns of laser light. Depending on the atoms\u2019 starting locations, the model could then quickly work out the correct pattern of light needed to rearrange them into a selection of 2D and 3D shapes.<\/p>\n<p><img decoding=\"async\" class=\"figure__image\" alt=\"An animated gif of rubidium atoms being moved around on a grid to form words and Schr\u00f6dinger\u2019s cat.\" loading=\"lazy\" src=\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/d41586-025-02577-9_51345928.gif\"\/><\/p>\n<p class=\"figure__caption u-sans-serif\">An animation created with an AI-guided laser pattern depicts Schr\u00f6dinger\u2019s cat (version here slowed by a factor of 33).Credit: R. Lin et al., Phys. Rev. Lett.<\/p>\n<p>The researchers used their model to assemble an array of up to 2,024 rubidium atoms in just 60 milliseconds. By contrast, another group assembled about 800 neutral atoms last year<a href=\"#ref-CR2\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">2<\/a>, but without the use of AI, it took an entire second. For the video of Schr\u00f6dinger\u2019s cat, the AI system directed laser light to move atoms to create the desired patterns. The atoms became visible when they emitted light in response to laser pulses. <\/p>\n<p>Scaling up<\/p>\n<p>Creating the right pattern of light, or hologram, that dictates how to arrange neutral atom arrays usually involves a slew of painstaking calculations. \u201cAnd doing those calculations as you make the arrays bigger and bigger can take up a fair amount of time,\u201d says Mark Saffman, a physicist at the University of Wisconsin\u2013Madison. That\u2019s why many of his colleagues \u201cwere really impressed by this work, as was I\u201d.<\/p>\n","protected":false},"excerpt":{"rendered":"Quantum computing qubits are arranged in a grid in this artist\u2019s illustration.Credit: Getty Artificial intelligence (AI) tools are&hellip;\n","protected":false},"author":2,"featured_media":124600,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[64,63,8216,257,1320,2565,1321,4638,2567,128,105],"class_list":{"0":"post-124599","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-au","9":"tag-australia","10":"tag-computer-science","11":"tag-computing","12":"tag-humanities-and-social-sciences","13":"tag-machine-learning","14":"tag-multidisciplinary","15":"tag-quantum-information","16":"tag-quantum-physics","17":"tag-science","18":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/124599","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=124599"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/124599\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/124600"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=124599"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=124599"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=124599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}