NITheP Seminar: Efficient online quantum state estimation using a matrix-exponentiated gradient method

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NITheP Seminar: Efficient online quantum state estimation using a matrix-exponentiated gradient method

November 26 @ 11:30 am - 12:30 pm

NITheP cordially invites you to a seminar by

Dr Marco Tomamichel

University of Technology, Sydney

Efficient online quantum state estimation using a matrix- exponentiated gradient method

Date: Monday, 26th November 2018
Time: 11h30 -12h30
Venue: NITheP Seminar Room, 3rd Floor, H-Block

 

Abstract: We explore an online algorithm for quantum state estimation based on the matrix exponentiated gradient method previously used in machine learning. We show convergence of the estimate in probability to the true state in the case of noiseless measurements with a constant learning rate, and in the case of noisy measurements with an adaptive learning rate. We then propose to use running averages of the measurement statistics and a constant learning rate to overcome the noise problem. The proposed algorithm is numerically compared with batch maximum-likelihood and least-squares estimators. The results show a superior performance of the new algorithm in terms of accuracy and runtime complexity.

The flyer of the announcement can be found here: Dr Tomamichel

Details

Date:
November 26
Time:
11:30 am - 12:30 pm
Website:
quantum.ukzn.ac.za

Organizer

Francesco Petruccione
Email:
petruccione@ukzn.ac.za
Website:
quantum.ukzn.ac.za

Venue

NITheP Seminar Room, 3rd Floor, Physics
Westville Campus, UKZN
Durban, South Africa
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Website:
quantum.ukzn.ac.za