Issue |
RAIRO-Theor. Inf. Appl.
Volume 53, Number 1-2, January–June 2019
|
|
---|---|---|
Page(s) | 19 - 35 | |
DOI | https://doi.org/10.1051/ita/2018020 | |
Published online | 15 January 2019 |
On the power of two-way multihead quantum finite automata
Department of Computer Science, Thapar Institute of Engineering & Technology, Patiala,
India
* Corresponding author: amandeepbhatia.singh@gmail.com
Received:
24
October
2017
Accepted:
18
December
2018
This paper introduces a variant of two-way quantum finite automata named two-way multihead quantum finite automata. A two-way quantum finite automaton is more powerful than classical two-way finite automata. However, the generalizations of two-way quantum finite automata have not been defined so far as compared to one-way quantum finite automata model. We have investigated the newly introduced automata from two aspects: the language recognition capability and its comparison with classical and quantum counterparts. It has been proved that a language which cannot be recognized by any one-way and multi-letter quantum finite automata can be recognized by two-way quantum finite automata. Further, it has been shown that a language which cannot be recognized by two-way quantum finite automata can be recognized by two-way multihead quantum finite automata with two heads. Furthermore, it has been investigated that quantum variant of two-way deterministic multihead finite automata takes less number of heads to recognize a language containing of all words whose length is a prime number.
Mathematics Subject Classification: 81P68 / 68Q05 / 68Q10 / 68Q12 / 68Q45
Key words: Two-way deterministic finite automata (2DFA) / two-way reversible finite automata (2RFA) / two-way deterministic multihead finite automata (DMFA) / two-way reversible multihead finite automata (RMFA) / two-way quantum finite automata (2QFA) / two-way multihead quantum finite automata (2MQFA)
© EDP Sciences, 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.