Universal Leakage Elimination Operator (LEO) - PowerPoint PPT Presentation

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Universal Leakage Elimination Operator (LEO)

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In this talk, I introduce a Universal Leakage Elimination Operator (LEO) to eliminate all leakages. – PowerPoint PPT presentation

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Title: Universal Leakage Elimination Operator (LEO)


1
ONE COMPONENT (or 1-d) QUANTUM MECHANICS AND A
UNIVERSAL LEAKAGE ELIMINATION OPERATOR
  • Lian-Ao Wu
  • Department of Theoretical Physics, The Basque
    Country University (EHU/UPV), Bilbao, Spain
  • Ikerbasque, Basque Foundation for Science

2
BILBAO, THE BASQUE COUNTRYONE-DIMENSIONAL CITY

3
OUTLINE
  • Feshbach P-Q partitioning technique and
    One-Component Exact Dynamical Equation (different
    perspective to look into finite dimensional QM)
  • Introduce Leakage Elimination Operator (LEO)
  • General condition for a type of quantum control
    Keeping a (quantum) system walking on a given
    state A(t)gt in the presence of environment.
  • Examples
  • Fast pulses and noise preserved quantum memory
  • Noise or fast pulses induced Adiabaticity
  • Application to the 3SAT algorithm
  • Summary

4
FESHBACH P-Q PARTITIONINGConsider a linear
equation of motion
We can write down the solution matrix as
We can also set , otherwise, rotate it
to
5
LEAKAGE ELIMINATION OPERATOR ( LEO)
  • Consider a Hamiltonian (L.-A. Wu, et al. PRL 89,
    127901)

6
SUCH THAT (ideally)
Leakage from P space to Q is eliminated.
Examples Qubit
Approximate LEO
7
ONE-COMPONENT DYNAMICAL EQUATION (P(0)1,Q(0)0)
8
DERIVATION OF THE EQUATION
9
Classical Harmonic oscillator Schrodingers equation Liouville's equation for open quantum system Quantum state diffusion equation for open system

Generalized coordinates and momenta H Hamiltonian wave function. L super-operator, Liouvillian. density matrix of the system. h non-Hermitan effective hamiltonian z is a state of bath
Examples of linear equations of motion
10
REFERENCES
  • L. -A. Wu, et al. Master Equation and Control an
    Open System with Leakage, Phys. Rev. Lett. 102,
    080405 (2009).
  • J. Jing and L. -A. Wu, Control of decoherence
    with no control, Sci. Rep. 3, 2746 (2013).
  • J.Jing, A. Bishop and L.-A. Wu, Nonperturbative
    dynamical decoupling with random control, Sci.
    Rep. 4,6299 (2014).
  • J. Jing, L.-A. Wu, T. Yu, J. Q. You, Z.-M. Wang,
    L. Garcia, One-component dynamical equation and
    noise-induced adiabaticity, Phys. Rev. A 89,
    032110 (2014).
  • H. F. Wang and L.-A. Wu, Fast quantum algorithm
    for EC3 problem with trapped ions.
    arXiv1412.1722
  • J. Jing, L.-A. Wu, M. Byrd, J. Q. You, T. Yu,
    Z.-M. Wang, Nonperturbative Leakage Elimination
    Operators and Control of a Three-Level System, ,
    Phys. Rev. Lett. 114, 190502 (2015).

11
ONE-COMPONENT EQUATION. tracing footprint of a
target state
12
GENERAL CONDITION FOR FULL CONTROL
13
ONE CAN HAVE DIFFERENT CONTROL FUNCTION OR PULSE
SEQUENCES
14
BANG-BANG PULSES AND NOISE PROTECTED MEMORY
15
Regular Fast Pulse Control
16
CONTROL WITH RANDOMNESS AND EVEN BY NOISE
17
Noise-Induced Adiabaticity SCHRÖDINGER EQUATION
AND EIGEN-EQUATION
Instantaneous Eigenstate
Dynamical Phase
18
STANDARD ADIABATIC CONDITION
THE HAMILTONIAN in ROTATING REPRESENTATION
19
ONE-COMPONENT DYNAMICAL EQUATION. tracing
footprint of target state
General Adiabatic (necessary) Condition
TWO-LEVEL SYSTEM
20
Adiabatic and non-adiabatic passages
The fast-varying factor. It can be noise
21
NOISE INDUCED ADIABATICITY
Continuous biased Poissonian white shot noise
22
EXAMPLE OF STRENGTH NOISE
First s in rotating framework, frequency w
Second noise in rotating framework.
In lab framework, the model could be
23
NOISE-INDUCED ADIABATICITY
Slow varying function
Fast varying Noise function
24
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25
APPLICATION SPEED UP QUANTUM ADIABATIC
ALGORITHM, 3SAT example
26
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27
CONCLUSION
  • We first derive a one-component
    integro-differential equation by P-Q
    partitioning.
  • We introduce an LEO to separate P-space from
    Q-space, and approximate LEO
  • All given quantum paths may be realized in terms
    of fast-varying signals, even noise signals.
  • We find that the effectiveness of LEOs
    exclusively depends on the integral of the pulse
    sequence or control function in the time domain,
    which has been missing for a long time.

28
  • Thanks for attentions
  • Many thanks to organizers
  • One joint postdoc opening
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