Variational Quantum Algorithms

Variational Quantum Algorithms: for Optimizing Probe States

Oudejans, Benjamin (TU Delft Applied Sciences; TU Delft Electrical Engineering, Mathematics and Computer Science)

Borregaard, J. (mentor)
de Laat, D. (mentor)
Thijssen, J.M. (graduation committee)
Groenevelt, W.G.M. (graduation committee)

Delft University of Technology

Applied Sciences

2021-07-09

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.

Variational Quantum Algorithm
Quantum Metrology
Probe state
Fisher information
maximum likelihood estimation

http://resolver.tudelft.nl/uuid:8ba01a15-4af4-4a2e-82e8-1b5dda30c27b

Student theses

bachelor thesis

© 2021 Benjamin Oudejans