{"id":62302,"date":"2025-08-06T09:39:08","date_gmt":"2025-08-06T09:39:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/62302\/"},"modified":"2025-08-06T09:39:08","modified_gmt":"2025-08-06T09:39:08","slug":"machine-learning-for-quantum-systems-physics-world","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/62302\/","title":{"rendered":"Machine learning for quantum systems \u2013 Physics World"},"content":{"rendered":"

Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques<\/p>\n

\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\"Fermionic
\n\t\t\t\t\t\t\t\t\t\t<\/a><\/p>\n

\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tThe density of 6 fermions in a 2D harmonic trap, with varying interaction strength. (CC BY Liam Bernheimer et al 2024 Rep. Prog. Phys. 87 118001)<\/p>\n

Understanding the behaviour of atoms and molecules at the quantum level is crucial for advances in chemistry, physics, and materials science. However, simulating these systems is extremely complex.<\/p>\n

Traditional methods rely on mathematical functions that must be smooth and differentiable. This limits the types of models that can be used\u2014especially modern machine learning models.<\/p>\n

In order to remove this requirement, a team of researchers from Tel Aviv University have developed a new approach by combining a stochastic representation of many-body wavefunctions with\u00a0path integrals.<\/p>\n

Their work opens the door to using more flexible and powerful machine learning architectures, such as diffusion models and piecewise transformers.<\/p>\n

They demonstrated their method on a simplified model of interacting particles in a 2D harmonic trap. They were able to show that it can accurately capture complex quantum behaviours, including symmetry breaking and the formation of Wigner molecules (a type of ordered quantum state).<\/p>\n

The approach is computationally efficient and scales better with system size than traditional methods.<\/p>\n

Most importantly though, this work allows for more accessible and scalable quantum simulations using modern AI techniques, potentially transforming how scientists study quantum systems.<\/p>\n","protected":false},"excerpt":{"rendered":"Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be…\n","protected":false},"author":2,"featured_media":62303,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[182,181,507,74],"class_list":["post-62302","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/62302","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=62302"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/62302\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/62303"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=62302"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=62302"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=62302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}