{"id":990,"date":"2014-05-27T12:27:24","date_gmt":"2014-05-27T10:27:24","guid":{"rendered":"https:\/\/webs.uab.cat\/giq\/seminar\/machine-learning-quantum-metrology\/"},"modified":"2014-05-27T12:27:24","modified_gmt":"2014-05-27T10:27:24","slug":"machine-learning-quantum-metrology","status":"publish","type":"seminar","link":"https:\/\/webs.uab.cat\/giq\/seminar\/machine-learning-quantum-metrology\/","title":{"rendered":"Machine Learning for Quantum Metrology"},"content":{"rendered":"<div style=\"font-family: arial,sans-serif; font-size: 12.7273px;\"><span style=\"font-size: 14px; line-height: 23.9167px; color: #333333; font-family: arial,helvetica,\uff2d\uff33\uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33\u30b4\u30b7\u30c3\u30af,Osaka,'MS PGothic',sans-serif;\">Quantum physics is an essentially probabilistic theory, and thus the precision of any measurement is limited. &nbsp;Given a set of independent measurements on N probes (for example, photons or atoms)<\/span><span style=\"color: #333333; font-family: arial,helvetica,\uff2d\uff33 \uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33 \u30b4\u30b7\u30c3\u30af,Osaka,MS PGothic,sans-serif;\"><span style=\"font-size: 14px; line-height: 23.9167px;\">, this precision is bounded by the standard quantum limit, which scales as $1\/\\sqrt{N}$. &nbsp;Quantum effects, particularly entanglement, can enhance the precision to $1\/N$, which is known as the Heisenberg limit. Such an enhancement also requires either (i) a global measurement on the probes or (ii) an adaptive measurement scheme. &nbsp;Whereas the latter is experimentally friendlier, devising optimal adaptive protocols is far from straightforward, and one typically relies on either clever guessing or brute-force numerical optimization. Recently a new approach has been suggested: machine learning, which replaces guesswork by a logical, fully-automatic, programmable routine.<\/span><\/span><span style=\"font-size: 14px; line-height: 23.9167px; color: #333333; font-family: arial,helvetica,\uff2d\uff33\uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33\u30b4\u30b7\u30c3\u30af,Osaka,'MS PGothic',sans-serif;\">&nbsp;In this talk I will present two important machine learning algorithms, differential evolution and particle swarm optimization, and show their applicability for quantum metrology. This talk is based on [1-3].<\/span><\/div>\n<div style=\"font-family: arial,sans-serif; font-size: 12.7273px;\"><span style=\"font-size: 14px; line-height: 23.9167px; color: #333333; font-family: arial,helvetica,\uff2d\uff33\uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33\u30b4\u30b7\u30c3\u30af,Osaka,'MS PGothic',sans-serif;\"><br \/> <\/span><\/div>\n<div style=\"font-family: arial,sans-serif; font-size: 12.7273px;\"><span style=\"font-size: 14px; line-height: 23.9167px; color: #333333; font-family: arial,helvetica,\uff2d\uff33\uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33\u30b4\u30b7\u30c3\u30af,Osaka,'MS PGothic',sans-serif;\">[1]&nbsp;<\/span>A. Hentschel and B. C. Sanders, Phys. Rev. Lett. 104, 063603 (2010).<\/div>\n<div style=\"font-family: arial,sans-serif; font-size: 12.7273px;\"><span style=\"font-size: 14px; line-height: 23.9167px; color: #333333; font-family: arial,helvetica,\uff2d\uff33\uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33\u30b4\u30b7\u30c3\u30af,Osaka,'MS PGothic',sans-serif;\">[2]&nbsp;<\/span>A. Hentschel and B. C. Sanders, Phys. Rev. Lett. 107, 233601 (2011).<\/div>\n<div style=\"font-family: arial,sans-serif; font-size: 12.7273px;\"><span style=\"font-size: 14px; line-height: 23.9167px; color: #333333; font-family: arial,helvetica,\uff2d\uff33\uff30\u30b4\u30b7\u30c3\u30af,\uff2d\uff33\u30b4\u30b7\u30c3\u30af,Osaka,'MS PGothic',sans-serif;\">[3]&nbsp;<\/span>A. Lovett NB, Crosnier C, <span class=\"il\">Perarnau<\/span>-Llobet M, Sanders BC, Phys. Rev. Let. 110, 220501 (2013).<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Quantum physics is an essentially probabilistic theory, and thus the precision of any measurement is limited. &nbsp;Given a set of independent measurements on N probes (for example, photons or atoms), this precision is bounded by the standard quantum limit, which scales as $1\/\\sqrt{N}$. &nbsp;Quantum effects, particularly entanglement, can enhance the precision to $1\/N$, which is [&hellip;]<\/p>\n","protected":false},"author":20,"featured_media":0,"template":"","class_list":["post-990","seminar","type-seminar","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/webs.uab.cat\/giq\/wp-json\/wp\/v2\/seminar\/990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webs.uab.cat\/giq\/wp-json\/wp\/v2\/seminar"}],"about":[{"href":"https:\/\/webs.uab.cat\/giq\/wp-json\/wp\/v2\/types\/seminar"}],"author":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/giq\/wp-json\/wp\/v2\/users\/20"}],"wp:attachment":[{"href":"https:\/\/webs.uab.cat\/giq\/wp-json\/wp\/v2\/media?parent=990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}