Variational Quantum Algorithms

for Optimizing Probe States

Bachelor thesis (2021)

Authors

B.C. Oudejans Applied Sciences

Contributors

J. Borregaard QN/Borregaard groep - AS (supervisor 1)
D. de Laat Discrete Mathematics and Optimization - EEMCS (supervisor 1)
J.M. Thijssen QN/Thijssen Group - AS (supervisor 2)
W.G.M. Groenevelt Analysis - EEMCS (supervisor 2)
Faculty
Applied Sciences
Copyright: © 2021 Benjamin Oudejans
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Published Date

09-07-2021

Language

English

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Faculty

Applied Sciences

Abstract

As quantum computers are developing, they are beginning to become useful for practical applications, for example in the field of quantum metrology. In this work, a variational quantum algorithm is used to find an optimal probe state for measuring parameters in a noisy environment. This is achieved by optimizing a cost on a quantum computer, based on the Fisher information of the parameters to be estimated. These parameters are then estimated using maximum likelihood estimators. In a simulation, a probe state was found that performed better than the best possible state for noiseless measurements, although this could not be reproduced on an actual quantum computer.