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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Non-Markovian and nonlinear quantum input-output r
esponse analysis - Zhang\, J (Tsinghua University)
DTSTART;TZID=Europe/London:20140805T133000
DTEND;TZID=Europe/London:20140805T141000
UID:TALK53608AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/53608
DESCRIPTION:Co-authors: Yu-xi Liu (Tsinghua University)\, Rebi
ng Wu (Tsinghua University)\, Kurt Jacobs (Boston
University)\, Tzyh-Jong Tarn (Washington Universit
y in Saint Louis)\, Franco Nori (RIKEN) \n\nQuantu
m input-output response analysis is a useful metho
d for modeling the dynamics of complex quantum net
works\, such as those for communication or quantum
control via cascade connections. Non-Markovian an
d nonlinear effects are expected to be important i
n networks realized using mesoscopic circuits. Her
e we first extend the Markovian input-output netwo
rk formalism to non-Markovian networks\, and apply
it to various examples. Second\, as an natural ex
tension of the input-output formalism of Gardiner
and Collet\, we develop a new approach based on th
e so-called quantum Volterra series which can grea
tly reduce the computational complexity of nonline
ar quantum input-output analysis. By this method\,
we can ignore the internal dynamics of the input-
output system and attribute all the information we
need to a series of scalar kernal functions. This
method can be used to describe the quantum networ
k with both nonlinear components and Bogoliubov co
mponents such as quantum amplifers whic h cannot b
e modelled by the existing methods such as Hudson-
Parthasarathy model and quantum transfer function
model.\n
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:Mustapha Amrani
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