J 2024

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

ZHENG, Shenggen; Yaqiao LI; Minghua PAN; Jozef GRUSKA; Lvzhou LI et. al.

Basic information

Original name

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

Authors

ZHENG, Shenggen (156 China); Yaqiao LI; Minghua PAN; Jozef GRUSKA (703 Slovakia, belonging to the institution) and Lvzhou LI

Edition

Journal of Computer and System Sciences, San Diego, Elsevier, 2024, 0022-0000

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

Impact factor

Impact factor: 0.900

RIV identification code

RIV/00216224:14330/24:00139267

Organization unit

Faculty of Informatics

UT WoS

001138384300001

EID Scopus

2-s2.0-85179893976

Keywords in English

Quantum computing; Time-space complexity; Two-way finite automata; Communication complexity; Lifting theorems; Query algorithms

Tags

International impact, Reviewed
Changed: 2/4/2025 00:48, RNDr. Pavel Šmerk, Ph.D.

Abstract

In the original language

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 ⠂⠂(n2), while of exact two-way quantum finite automata with classical states (2QCFA) is O ⠂(n5/3), that is, we demonstrate for the first time that exact quantum computing has an advantage in time-space complexity comparing to classical computing. (c) 2023 Elsevier Inc. All rights reserved.