{"id":188930,"date":"2024-05-08T11:28:42","date_gmt":"2024-05-08T16:28:42","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/05\/researchers-develop-energy-efficient-probabilistic-computer-by-combining-cmos-with-stochastic-nanomagnet"},"modified":"2024-05-08T11:28:42","modified_gmt":"2024-05-08T16:28:42","slug":"researchers-develop-energy-efficient-probabilistic-computer-by-combining-cmos-with-stochastic-nanomagnet","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/05\/researchers-develop-energy-efficient-probabilistic-computer-by-combining-cmos-with-stochastic-nanomagnet","title":{"rendered":"Researchers Develop Energy-Efficient Probabilistic Computer by Combining CMOS with Stochastic Nanomagnet"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/researchers-develop-energy-efficient-probabilistic-computer-by-combining-cmos-with-stochastic-nanomagnet3.jpg\"><\/a><\/p>\n<p>In this study, graduate student Keito Kobayashi and Professor Shunsuke Fukami from Tohoku University, along with Dr. Kerem Camsari from the University of California, Santa Barbara, and their colleagues, developed a near-future heterogeneous version of a probabilistic computer tailored for executing probabilistic algorithms and facile manufacturing.<\/p>\n<p>\u201cOur constructed prototype demonstrated that excellent computational performance can be achieved by driving pseudo random number generators in a deterministic CMOS circuit with physical random numbers generated by a limited number of stochastic nanomagnets,\u201d says Fukami. \u201cSpecifically speaking, a limited number of probabilistic bits (p-bits) with a stochastic magnetic tunnel junction (s-MTJ), should be manufacturable with a near-future integration technology.\u201d<\/p>\n<p>The researchers also clarified that the final form of the spintronics probabilistic computer, primarily composed of s-MTJs, will yield a four-order-of-magnitude reduction in area and a three-order-of-magnitude reduction in energy consumption compared to the current CMOS circuits when running probabilistic algorithms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this study, graduate student Keito Kobayashi and Professor Shunsuke Fukami from Tohoku University, along with Dr. Kerem Camsari from the University of California, Santa Barbara, and their colleagues, developed a near-future heterogeneous version of a probabilistic computer tailored for executing probabilistic algorithms and facile manufacturing. \u201cOur constructed prototype demonstrated that excellent computational performance can [\u2026]<\/p>\n","protected":false},"author":707,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523,41,4,48],"tags":[],"class_list":["post-188930","post","type-post","status-publish","format-standard","hentry","category-computing","category-information-science","category-nanotechnology","category-particle-physics"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/188930","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\/707"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=188930"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/188930\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=188930"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=188930"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=188930"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}