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Quantum Feedback Control

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Title: Quantum Feedback Control


1
Quantum Feedback Control
  • John Sun
  • Julian Gibbons

2
What is Feedback Control?
  • A measurement and correction to disturbed
    information systems
  • Used in
  • Signal processing
  • Telescopes
  • As technology gets smaller, quantum effects must
    be considered

3
Classical vs. Quantum Information
  • Classical information bits
  • 0 or 1
  • Quantum information qubits
  • 0gt or 1gt
  • Also allow linear superposition of 0gt and 1gt
  • where
  • We can only measure phase difference, so absolute
    phase is irrelevant

4
Bloch Sphere Picture
  • Two degrees of freedom, so model with angles on a
    sphere (the Bloch sphere)
  • Two orthogonal states are diametrically opposite
    each other
  • Analogous to electron spin

5
Density Matrices
  • Often more useful to use density matrices to
    represent a qubit
  • For point on the Bloch sphere, we can
    write the qubit as
  • where

6
Quantum Gates and Measurement
  • Two ways to transform a state.
  • A quantum gate, in which the action of the gate
    is described by conjugation by a matrix
  • A measurement collapses the state into one of the
    states 0gt or 1gt
  • Information is lost in the measurement
  • Very different to classical systems

7
Example Thermostat
  • Suppose we want an oven to maintain a fixed
    temperature
  • Thermostat periodically checks whether the oven
    is too hot or too cold
  • Temperature is then corrected based on this
    information
  • Note that measurement is crucial, and does not
    disturb the system

8
Quantum Control
Noise
Quantum Control
  • We send one of two non-orthogonal states, and
    correct for noise
  • The state of a qubit cannot be cloned (no
    cloning theorem)
  • We need a different approach to classical system

9
Weak Measurement
  • Rather than measuring a qubit directly, we
    entangle with a meter qubit
  • We do a rotation and then measurement on the
    meter state
  • The amount of rotation governs
  • How much information we gain
  • How little we disturb the qubit
  • This gives us a parameter to optimise

10
Our Control Scheme
  • We want an easily implemented control scheme.
  • We light in different polarisation states
  • 0gt for horizontal polarisation
  • 1gt for vertical polarisation
  • We choose initial state of
  • We then act on it with noise, and correct

z
x
11
Mixed States and Noise
  • We consider noise that has a probability p of
    flipping the state, and (1 p) of doing nothing
  • The result is called a mixed state, being a
    combination of quantum and classical
    uncertainties
  • This brings our qubit inside the Bloch sphere
  • We model this action on initial state
  • ? by rotation around the x-axis

z
x
12
Diagrammatic Representation
Detector
Noise
13
The Beamsplitter
  • The beamsplitter
  • Perfectly transmits horizontally polarised light
  • Partially reflects vertically polarised light
  • Acts to entangle the meter with the input
  • The meter state is taken to be
  • 0gt if no detection is made
  • 1gt if a detection is made
  • Our parameter, ?, for measurement strength
    corresponds to the reflectivity parameter
  • If we detect at the meter, the qubit has
    collapsed
  • We therefore choose to replace it with 0gt

14
Fidelity
  • We need to analyse the accuracy of our scheme
  • The fidelity measures the similarity between the
    initial density state ? and the final state
    ?final (after noise, measurement, and correction)
  • Returns a value between 0 (anti-correlation) and
    1 (perfect correlation)

15
Fidelity (our scheme)
  • We adjust the reflectivity of the beamsplitter to
    optimise fidelity
  • We try to solve (in ?) the equation ?F/?? 0,
    and then calculate the locally optimal fidelity

16
Fidelity (our scheme)
  • But, ?F/?? 0 is gives solution
  • Hence, our optimal fidelity only valid in a
    restricted domain in (p, ?)-space
  • Outside this domain, we have no local maxima, so
    we use the boundary value (the do nothing
    scheme)

17
Fidelity (our scheme)
18
Fidelity (optimal scheme)
  • There is an optimal control scheme, which
    produces fidelity
  • We adjust the measurement signal strength to
    optimise fidelity
  • Solve (in ?) the equation ?F/?? 0
  • This gives

19
Fidelity (optimal scheme)
20
Fidelity (comparison)
21
Conclusion
  • Fidelity is greatest for low noise
  • Maximal fidelity for
  • No noise
  • Horizontal polarisation (perfectly correctible)
  • Orthogonal states (noise has no effect)
  • Our scheme can easily be implemented in a
    laboratory
  • Our scheme is not optimal, but deviates in
    fidelity by at most 0.06 (approximately 6
    greater failure chance)

22
Acknowledgements
  • We should like to thank the following people for
    this project
  • Dr. Stephen Bartlett, project supervisor
  • Prof. Dick Hunstead, TSP co-ordinator
  • Agata Branczyk, Quantum Control of a Single Qubit
    (2005)
  • The Bloch sphere diagram was taken from
  • http//en.wikipedia.org/wiki/Bloch_sphere
  • All plots generated with Mathematica 5.0
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