Time-space tradeoffs for two-way finite automata
Shenggen Zheng, Daowen Qiu, Jozef Gruska

TL;DR
This paper investigates time-space tradeoffs in recognizing specific languages using two-way finite automata, demonstrating quantum automata can outperform classical ones in certain scenarios, marking a novel advantage in quantum computing.
Contribution
It establishes new upper bounds for quantum and probabilistic automata and shows quantum automata can have advantages over classical automata in time-space tradeoffs.
Findings
Quantum automata outperform classical automata in specific language recognition tasks.
New upper bounds for time-space tradeoffs in quantum and probabilistic automata.
First example showing exact quantum automata have advantage in time-space tradeoff.
Abstract
We explore bounds of {\em time-space tradeoffs} in language recognition on {\em two-way finite automata} for some special languages. We prove: (1) a time-space tradeoff upper bound for recognition of the languages on {\em two-way probabilistic finite automata} (2PFA): , whereas a time-space tradeoff lower bound on {\em two-way deterministic finite automata} is , (2) a time-space tradeoff upper bound for recognition of the languages on {\em two-way finite automata with quantum and classical states} (2QCFA): , whereas a lower bound on 2PFA is , (3) a time-space tradeoff upper bound for recognition of the languages on exact 2QCFA: , whereas a lower bound on 2PFA is . It has been proved (Klauck, STOC'00) that the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Machine Learning and Algorithms · Computability, Logic, AI Algorithms
