HOW TO THINK OF QUANTUM MARKOV MODELS FROM AN ENGINEERING - - PowerPoint PPT Presentation

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HOW TO THINK OF QUANTUM MARKOV MODELS FROM AN ENGINEERING - - PowerPoint PPT Presentation

HOW TO THINK OF QUANTUM MARKOV MODELS FROM AN ENGINEERING PERSPECTIVE John Gough (Aberystwyth) Mathematics of QIT May 6-10 Lorentz Center Input-Plant-Output Models Plant = System (state variable x ) Laplace domain


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HOW TO THINK OF QUANTUM MARKOV MODELS FROM AN ENGINEERING PERSPECTIVE

John Gough

(Aberystwyth)

“Mathematics of QIT” May 6-10 Lorentz Center

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Input-Plant-Output Models

  • Plant = System (state variable x)
  • Laplace domain
  • Transfer Function
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Block Diagrams

  • Series
  • Feedback
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Fractional Linear Transformations

  • “Open Loop”
  • “Closed Loop”
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Fractional Linear Transformation

  • The feedback reduction
  • Algebraic loops if
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Double Pass!

  • Special case of feedback reduction
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Networks and Feedback Control

  • Measurement Based

Feedback Control

  • Coherent Feedback

Control

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Quantum Inputs and Outputs

Lamb Model / Caldeira-Leggett / Ford-Kac-Mazur / Thirring-Schwabl /Lewis-Maassen/ Yurke-Denker

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Non-Markov Models and Markov Limits

Gardiner-Collett Input-output relations Spectral Density

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Quantum Markovian Dynamics

  • A semi-group of CP identity-preserving maps (Heisenberg picture!)
  • Generator (Lindblad)
  • Dilation

auxiliary space , vector state , unitary on

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Quantum Input-Output Systems

Gardiner-Collett (1985) Hudson-Parthasarathy (1984) V.P. Belavkin (1979+)

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Quantum Input Processes

The “wires” are quantum fields!

  • Field quanta of type k annihilated at the system at time t:
  • Hilbert Space:
  • Default state is the (Fock) vacuum
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Quantum Stochastic Models

Single input – Emission/Absorption Interaction

  • Wick-ordered form:
  • Heisenberg Picture
  • GKS-LindbladGenerator
  • Input-Output Relations
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Quantum Stochastic Models

  • Two inputs – pure scattering

Wick-ordered form: Heisenberg Picture Input-Output Relations

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Quantum Ito Table

  • Fundamental Processes
  • Table
  • Product Rule
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SLH Formalism

  • Hamiltonian H
  • Coupling/Collapse Operators L
  • Scattering Operator S
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Quantum Stochastic Models

  • General (S ,L , H) case

Wick-ordered form: Or better as a QSDE (quantum Ito stochastic calculus)

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Quantum Stochastic Models

Heisenberg Picture Lindblad Generator Input-Output Relations

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This is Markovian!

“Pyramidal” Multi-time Expectations In non-Markovian models there is no “state” in the usual sense!

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Quantum Networks

  • How to connect models?
  • Cascaded models
  • Algebraic loops
  • Feedback Control
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The Series Product

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Perturbations (Avron, Fraas, Graf)

  • Virtual displacement of the model

Displacements Virtual work

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Local Asymptotic Normality

  • Suppose that the QMS has a unique faithful stationary state
  • (CCR) Algebra of fluctuations (Guta and Kiukas, Bouten)
  • Geometric structure closely related to the Series Product!
  • General perturbations (Bouten and JG)
  • PROBLEM: is this some form of de Bruijn identity?
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Network Rule # 1 Open loop systems in parallel

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Network Rule # 2 Feedback Reduction Formula

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The Network Rules are implemented in a workflow capture package QHDL

QHDL (MabuchiLab)

  • N. Tezak, et al., (2012) Phil. Trans. Roy. Soc. A, 370, 5270.
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Transfer Operator

  • Classical Transfer function
  • SLH version
  • Properties
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Adiabatic Elimination

  • An important model simplification split the systems into slow and fast subspaces
  • Mathematical this is also a fractional linear transformation
  • It commutes with feedback reduction!
  • JG, H. Nurdin, S. Wildfeuer, J. Math. Phys., 51, 123518 (2010); H. Nurdin, JG, Phil. Trans. R.

Soc., A 370, 5422-36 (2012)

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Measurement

  • Homodyne
  • Compatibility
  • Filter

Conditioned state Innovations

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Coherent Quantum Feedback Control

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Autonomous Quantum Error Correction

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Thank You For Your Attention,