Publication Details
On Comparison of Some Representations for the Evolution of Quantum Operators
Žufan Petr, Ing.
quantum computing, unitary matrix, genetic algorithm, evolution strategy,
representation technique
This paper presents a comparative study regarding the evolutionary design of
quantum operators in the form of unitary matrices. Three different techniques
allowing the generation of unitary matrices are investigated whose parameters are
tuned by means of evolutionary algorithms. Such problem may be considered as
a numerical optimisation task because the unitary matrices are represented by
complex numbers with real-valued coefficients. Specifically, Genetic Algorithm
and Evolution Strategy are applied, each in four different setups, and evaluated
on three case studies: the 2-qubit Controlled-NOT gate, 3-qubit entanglement
operator and 4-qubit detector of an element with the maximum amplitude. The
evolutionary algorithms in combination with the given representation techniques
are evaluated in order to determine the abilities of various experimental setups
to solve the given tasks. The main contribution is the utilisation of QR
decomposition, a technique for generating unitary matrices from theoretically any
sequence of complex numbers, that has been applied for the first time in this
paper for the evolution of quantum operators. It will be demonstrated that the QR
decomposition exhibits a good performance especially in solving more complex
quantum operators in comparison with other representations.
@inproceedings{BUT168139,
author="Michal {Bidlo} and Petr {Žufan}",
title="On Comparison of Some Representations for the Evolution of Quantum Operators",
booktitle="2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020",
year="2020",
pages="2101--2108",
publisher="Institute of Electrical and Electronics Engineers",
address="Canberra",
doi="10.1109/SSCI47803.2020.9308423",
isbn="978-1-7281-2547-3",
url="https://ieeexplore.ieee.org/document/9308423"
}