Lifting query complexity to time-space complexity for two-way finite automata

Shenggen Zheng; Yaqiao Li; Minghua Pan; Jozef Gruska; Lvzhou Li

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arXiv · 2311.18220

Lifting query complexity to time-space complexity for two-way finite automata

Shenggen Zheng·Yaqiao Li·Minghua Pan·Jozef Gruska·Lvzhou Li

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Abstract

Time-space tradeoff has been studied in a variety of models, such as Turing machines, branching programs, and finite automata, etc. While communication complexity as a technique has been applied to study finite automata, it seems it has not been used to study time-space tradeoffs of finite automata. We design a new technique showing that separations of query complexity can be lifted, via communication complexity, to separations of time-space complexity of two-way finite automata. As an application, one of our main results exhibits the first example of a language $L$ such that the time-space complexity of two-way probabilistic finite automata with a bounded error (2PFA) is $\widetilde{\Omega}(n^2)$, while of exact two-way quantum finite automata with classical states (2QCFA) is $\widetilde{O}(n^{5/3})$, that is, we demonstrate for the first time that exact quantum computing has an advantage in time-space complexity comparing to classical computing.

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BibTeX RIS

Shenggen Zheng, Yaqiao Li, Minghua Pan, Jozef Gruska, Lvzhou Li. 2023-11-30. Lifting query complexity to time-space complexity for two-way finite automata. https://arxiv.org/abs/2311.18220

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