{"id":1185,"date":"2019-10-31T10:41:15","date_gmt":"2019-10-31T08:41:15","guid":{"rendered":"https:\/\/webs.uab.cat\/giq\/seminar\/quantum-stochastic-processes-a-complete-theory-for-non-markovian-quantum-phenomena\/"},"modified":"2019-10-31T10:41:15","modified_gmt":"2019-10-31T08:41:15","slug":"quantum-stochastic-processes-a-complete-theory-for-non-markovian-quantum-phenomena","status":"publish","type":"seminar","link":"https:\/\/webs.uab.cat\/giq\/seminar\/quantum-stochastic-processes-a-complete-theory-for-non-markovian-quantum-phenomena\/","title":{"rendered":"Quantum stochastic processes: A complete theory for non-Markovian\u00a0quantum phenomena"},"content":{"rendered":"<p>In science, we often want to characterise dynamical processes to&nbsp;identify&nbsp;the underlying physics, predict the future states, or&nbsp;exercise control over the system. If the state of the system at any&nbsp;time depends only on the state of the system at the previous time-step&nbsp;and some predetermined rule then the dynamics are characterised with&nbsp;relative ease. For instance, the&nbsp;dynamics of quantum mechanical&nbsp;systems in isolation is described in this way. However, when a quantum&nbsp;system repeatedly interacts with an environment, the environment often&nbsp;\u2019remembers\u2019 information about the system&#8217;s past. This leads to&nbsp;non-Markovian processes, which depend nontrivially on the state of the&nbsp;system at all times during the evolution. Such dynamics are not, in&nbsp;general, be easily characterised using conventional techniques.&nbsp;Indeed, since the early days of quantum mechanics, it has been a&nbsp;challenge to fully describe non-Markovian processes. Here we will&nbsp;show, using operational tools from quantum information theory, how to&nbsp;fully characterise any non-Markovian process. This newly developed&nbsp;framework allows us to build unambiguous criteria for quantum&nbsp;Markov processes; extend the notion of Markov order to quantum&nbsp;systems; cast master equations in terms of operational elements,&nbsp;i.e., CPTP and higher-order maps; and show that our framework&nbsp;constitutes the theory for quantum causal modelling. Finally,&nbsp;using these tools we expose non-Markovianity in IBM&#8217;s five-qubit&nbsp;computer.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In science, we often want to characterise dynamical processes to&nbsp;identify&nbsp;the underlying physics, predict the future states, or&nbsp;exercise control over the system. If the state of the system at any&nbsp;time depends only on the state of the system at the previous time-step&nbsp;and some predetermined rule then the dynamics are characterised with&nbsp;relative ease. For instance, the&nbsp;dynamics of [&hellip;]<\/p>\n","protected":false},"author":20,"featured_media":0,"template":"","class_list":["post-1185","seminar","type-seminar","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/webs.uab.cat\/giq\/wp-json\/wp\/v2\/seminar\/1185","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=1185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}