{"id":199056,"date":"2024-11-09T05:22:53","date_gmt":"2024-11-09T11:22:53","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/11\/quantum-tunneling-deep-neural-network-for-optical-illusion-recognition"},"modified":"2024-11-09T05:22:53","modified_gmt":"2024-11-09T11:22:53","slug":"quantum-tunneling-deep-neural-network-for-optical-illusion-recognition","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/11\/quantum-tunneling-deep-neural-network-for-optical-illusion-recognition","title":{"rendered":"Quantum-tunneling deep neural network for optical illusion recognition"},"content":{"rendered":"<p style=\"padding-right: 20px\"><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/quantum-tunneling-deep-neural-network-for-optical-illusion-recognition2.jpg\"><\/a><\/p>\n<p>The discovery of the quantum tunneling (QT) effect\u2014the transmission of particles through a high potential barrier\u2014was one of the most impressive achievements of quantum mechanics made in the 1920s. Responding to the contemporary challenges, I introduce a deep neural network (DNN) architecture that processes information using the effect of QT. I demonstrate the ability of QT-DNN to recognize optical illusions like a human. Tasking QT-DNN to simulate human perception of the Necker cube and Rubin\u2019s vase, I provide arguments in favor of the superiority of QT-based activation functions over the activation functions optimized for modern applications in machine vision, also showing that, at the fundamental level, QT-DNN is closely related to biology-inspired DNNs and models based on the principles of quantum information processing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The discovery of the quantum tunneling (QT) effect\u2014the transmission of particles through a high potential barrier\u2014was one of the most impressive achievements of quantum mechanics made in the 1920s. Responding to the contemporary challenges, I introduce a deep neural network (DNN) architecture that processes information using the effect of QT. I demonstrate the ability of [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,48,1617,6],"tags":[],"class_list":["post-199056","post","type-post","status-publish","format-standard","hentry","category-biological","category-particle-physics","category-quantum-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/199056","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=199056"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/199056\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=199056"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=199056"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=199056"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}