Advances in Evolutionary Optimization of Quantum Operators
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU143668" target="_blank" >RIV/00216305:26230/21:PU143668 - isvavai.cz</a>
Result on the web
<a href="https://mendel-journal.org/index.php/mendel/article/view/152/161" target="_blank" >https://mendel-journal.org/index.php/mendel/article/view/152/161</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2021.2.012" target="_blank" >10.13164/mendel.2021.2.012</a>
Alternative languages
Result language
angličtina
Original language name
Advances in Evolutionary Optimization of Quantum Operators
Original language description
Three existing techniques (representations) which allow generating unitary matrices are used in various evolutionary algorithms in order to optimize their coefficients. The objective is to obtain as precise quantum operators (the resulting unitary matrices) as possible for given quantum transformations. Ordinary evolution strategy, self-adaptive evolution strategy and differential evolution are applied with various settings as the optimization algorithms for the quantum operators. These algorithms are evaluated on the tasks of designing quantum operators for 3- and 4-qubit maximum amplitude detector and a solver of a logic function of three variables in conjunctive normal form. These tasks require require unitary matrices of various sizes. It will be demonstrated that the self-adaptive evolution strategy and differential evolution are able to produce remarkably better results than the ordinary evolutiona strategy. Moreover, the results can be improved by selecting a proper settings for the evolution as presented by a comparative evaluation. A comparative study is presented regarding the evolutionary design of quantum operators in the form of unitary matrices.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
11
Pages from-to
12-22
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85123691564