{"id":182363,"date":"2024-02-09T11:24:48","date_gmt":"2024-02-09T17:24:48","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/02\/high-fidelity-spatial-mode-quantum-gates-enabled-by-diffractive-neural-networks"},"modified":"2024-02-09T11:24:48","modified_gmt":"2024-02-09T17:24:48","slug":"high-fidelity-spatial-mode-quantum-gates-enabled-by-diffractive-neural-networks","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/02\/high-fidelity-spatial-mode-quantum-gates-enabled-by-diffractive-neural-networks","title":{"rendered":"High fidelity spatial mode quantum gates enabled by diffractive neural networks"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/high-fidelity-spatial-mode-quantum-gates-enabled-by-diffractive-neural-networks3.jpg\"><\/a><\/p>\n<p>Reliable quantum gates are the fundamental component of quantum information processing. However, achieving high-dimensional unitary transformations in a scalable and compact manner with ultrahigh fidelities remains a great challenge.<\/p>\n<p>To address this issue, scientists in China showcase the use of deep diffractive neural networks (D<sup>2<\/sup>NNs) to construct a series of high-dimensional quantum gates, which are encoded by the spatial modes of photons. This work, <a href=\"https:\/\/www.nature.com\/articles\/s41377-023-01336-7\">published<\/a> in <i>Light: Science &amp; Applications<\/i>, offers a <a href=\"https:\/\/phys.org\/tags\/new+paradigm\/\" rel=\"tag\" class=\"\">new paradigm<\/a> for quantum gate design using deep learning.<\/p>\n<p>Quantum computing holds the promise of transforming our information processing methodologies, and at its core, reliable quantum logic gates play an essential role in quantum information processing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Reliable quantum gates are the fundamental component of quantum information processing. However, achieving high-dimensional unitary transformations in a scalable and compact manner with ultrahigh fidelities remains a great challenge. To address this issue, scientists in China showcase the use of deep diffractive neural networks (D2NNs) to construct a series of high-dimensional quantum gates, which are [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1617,6],"tags":[],"class_list":["post-182363","post","type-post","status-publish","format-standard","hentry","category-quantum-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/182363","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\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=182363"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/182363\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=182363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=182363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=182363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}