GRUSKA, Jozef. Time-space complexity advantages for quantum computing. In Carlos Martín-Vide, Roman Neruda, Miguel A. Vega-Rodríguez. Lecture Notes in Computer Science, Volume 10687: 6th International Conference on Theory and Practice of Natural Computing, TPNC 2017. Cham, Switzerland: Springer, 2017, s. 305-317. ISBN 978-3-319-71068-6. Dostupné z: https://dx.doi.org/10.1007/978-3-319-71069-3_24.
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Základní údaje
Originální název Time-space complexity advantages for quantum computing
Autoři GRUSKA, Jozef (703 Slovensko, garant, domácí).
Vydání Cham, Switzerland, Lecture Notes in Computer Science, Volume 10687: 6th International Conference on Theory and Practice of Natural Computing, TPNC 2017, od s. 305-317, 13 s. 2017.
Nakladatel Springer
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Švýcarsko
Utajení není předmětem státního či obchodního tajemství
Forma vydání tištěná verze "print"
Impakt faktor Impact factor: 0.402 v roce 2005
Kód RIV RIV/00216224:14330/17:00100568
Organizační jednotka Fakulta informatiky
ISBN 978-3-319-71068-6
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-71069-3_24
UT WoS 000450354700024
Klíčová slova anglicky Quantum computing; Time-space complexity
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: RNDr. Pavel Šmerk, Ph.D., učo 3880. Změněno: 5. 11. 2021 12:52.
Anotace
It has been proved that quantum computing has advantages in query complexity, communication complexity and also other computing models. However, it is hard to prove strictly that quantum computing has advantage in the Turing machine models in time complexity. For example, we do not know how to prove that Shor’s algorithm is strictly better than any classical algorithm, since we do not know the lower bound of time complexity of the factoring problem in Turing machine. In this paper, we consider the time-space complexity and prove strictly that quantum computing has advantages compared to their classical counterparts. We prove: (1) a time-space upper bound for recognition of the languages LI N T(n) on two-way finite automata with quantum and classical states (2QCFA): TS= O(n3/2log n), whereas a lower bound on probabilistic Turing machine is TS= Omega(n2); (2) a time-space upper bound for recognition of the languages LN E(n) on exact 2QCFA: TS= O(n1.87log n), whereas a lower bound on probabilistic Turing machine is TS= Omega(n2). It has been proved (Klauck, STOC’00) that the exact one-way quantum finite automata have no advantage comparing to classical finite automata in recognizing languages. However, the result (2) shows that the exact 2QCFA do have an advantage in comparison with their classical counterparts, which is the first example showing that the exact quantum computing has advantage in time-space complexity comparing to classical computing.
VytisknoutZobrazeno: 30. 4. 2024 16:03