2019
Entangling and disentangling in Grover's search algorithm
PAN, Minghua; Daowen QIU; Paulo MATEUS a Jozef GRUSKAZákladní údaje
Originální název
Entangling and disentangling in Grover's search algorithm
Autoři
PAN, Minghua; Daowen QIU; Paulo MATEUS a Jozef GRUSKA (703 Slovensko, domácí)
Vydání
Theoretical Computer Science, Amsterdam, Elsevier, 2019, 0304-3975
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 0.747
Kód RIV
RIV/00216224:14330/19:00113867
Organizační jednotka
Fakulta informatiky
UT WoS
000469907500009
EID Scopus
2-s2.0-85055153956
Klíčová slova anglicky
Entanglement dynamics; Grover's search algorithm; Geometric measure of entanglement
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 5. 11. 2021 14:39, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
Entanglement is believed to be crucial in making quantum algorithms more powerful than their classical counterparts for certain computational tasks. In Grover's search algorithm, the Grover's operator iteration G can be decomposed into two basic operators, i.e., G = RO, where O is so called the Oracle operator and R is the Reflection operator. To probe the production/depletion of entanglement from basic operator level, we investigate the roles the Oracle and the Reflection operators play in the entanglement dynamics during Grover's search algorithm application. Using geometric measure of entanglement (GME), we show that the Oracle operator is an entangling operator which almost always produces (increases) entanglement while the Reflection operator is a disentangling operator which mainly depletes (decreases) entanglement. We explicitly demonstrate that there exists a turning point during the Grover's iteration application with the following properties. Before that turning point, the entanglement is almost always increased when the Oracle operator is applied, and the effect of the Reflection operator on the level of entanglement can be almost ignored. However, after the turning point, both the Oracle and the Reflection operators play important roles to the entanglement, more exactly, the Reflection operator significantly decreases entanglement while the Oracle operator increases entanglement. All these results are carefully demonstrated.