Status of Robust Gate Design by Optimal Control Janus Halleløv Wesenberg University of Aarhus.

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Status of Robust Gate Design by Optimal Control Janus Halleløv Wesenberg University of Aarhus

Transcript of Status of Robust Gate Design by Optimal Control Janus Halleløv Wesenberg University of Aarhus.

Status of Robust Gate Design by Optimal Control

Janus Halleløv WesenbergUniversity of Aarhus

ESQUIRE Meeting, Lund, January 2005

Talk Outline

• Robust gate design by optimal control.

• Problems of sample-based approach• Magnus expansion allows area-

samples• Performance with area-samples• Summary and outlook

ESQUIRE Meeting, Lund, January 2005

Sample-Based Approach

• Now: Just minimize J(u)!– Method: optimal control theory

Field parameters Objective functional

Instance parameters

Performance index

ESQUIRE Meeting, Lund, January 2005

Talk Outline

• Robust gate design by optimal control.

• Problems of sample-based approach• Magnus expansion allows area-

samples• Performance with area-samples• Summary and outlook

Performance for Central Ions

ESQUIRE Meeting, Lund, January 2005

Problem: Far-Detuned Ions

ESQUIRE Meeting, Lund, January 2005

Performance for Far-Detuned Ions

• Includes decay,

ESQUIRE Meeting, Lund, January 2005

Talk Outline

• Robust gate design by optimal control.

• Problems of sample-based approach• Magnus expansion allows area-

samples• Performance with area-samples• Summary and outlook

ESQUIRE Meeting, Lund, January 2005

• Second order Magnus expansion allows us to estimate effect on far-detuned ions:

Magnus Expansion

H(1) given by the autocorrelation function

ESQUIRE Meeting, Lund, January 2005

Works for unoptimized fields

2 4 6 8 1010

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0 2.5 5 7.5 10

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||/

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0 2.5 5 7.5 10 -2

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Arg

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Red marks: 2nd order Magnus estimate

Field

ESQUIRE Meeting, Lund, January 2005

… but optimization tricks Magnus

0.99

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0.9990.999

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/0

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ESQUIRE Meeting, Lund, January 2005

More Iterations are Even Worse

2 4 6 8 1010

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/0

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Niter=450

Niter=1100

ESQUIRE Meeting, Lund, January 2005

Source of Spread

2 3 4 5 6 7 8 9 1010

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10-6

10-5

10-4

10-3

/0

1-F

ESQUIRE Meeting, Lund, January 2005

Talk Outline

• Robust gate design by optimal control.

• Problems of sample-based approach• Magnus expansion allows area-

samples• Performance with area-samples• Summary and outlook

ESQUIRE Meeting, Lund, January 2005

Magnus Working

0.99

0.99

0.99

0.99

0.99

0.990.99

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0.999

0.9990.999

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-0.4 -0.2 0 0.2 0.4

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1

1.1

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2 4 6 8 1010

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10-4

10-2

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/0

1-F

ESQUIRE Meeting, Lund, January 2005

Resulting Field

0 2.5 5 7.5 10

0

0.25

0.5

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||/

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0 2.5 5 7.5 10-5

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Arg

()/

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t 0/

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2

ESQUIRE Meeting, Lund, January 2005

Entangling Power• The excited state is plagued by decay.• Nevertheless, since the entangling power of

the dipole coupling is proportional to the excited state population, we need to populate it.

• Limits obtainable gate fidelity

DecayDecay

[To be published]

ESQUIRE Meeting, Lund, January 2005

Summary and Outlook

• Summary– 2nd order Magnus expansion alone is not

enough to accurately predict performance.

– Together with regular samples, however, the optimization seems to work

• Outlook– We are currently trying to obtain a full

2-qubit gate by optimization

ESQUIRE Meeting, Lund, January 2005

Entangling Power

ESQUIRE Meeting, Lund, January 2005

Magnus-based Sampling

• Seems very promising

ESQUIRE Meeting, Lund, January 2005

Instance Selection

ESQUIRE Meeting, Lund, January 2005

Unitary Instance Selection

ESQUIRE Meeting, Lund, January 2005

Bus Architecture

• Interaction strengths: up to GHz at typical ion distances.

Fully interconnected Bus

ESQUIRE Meeting, Lund, January 2005

Calculating dJ/du

• For a general dynamical system,

• We consider the objective functional

E.g. Schrödinger equation

”Penalty function”

ESQUIRE Meeting, Lund, January 2005

OCT overview