Relativizations of Nonuniform Quantum Finite Automata Families

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Abstract

Theory of relativization provides profound insights into the structural properties of various collections of mathematical problems by way of constructing desirable oracles that meet numerous requirements of the problems. This is a meaningful way to tackle unsolved questions on relationships among computational complexity classes induced by machine-based computations that can relativize. Slightly different from an early study on relativizations of uniform models of finite automata in [Tadaki, Yamakami, and Li (2010); Yamakami (2014)], we intend to discuss relativizations of state complexity classes (particularly, and) defined in terms of nonuniform families of time-unbounded quantum finite automata with polynomially many inner states. We create various relativized worlds where certain nonuniform state complexity classes become equal or different. By taking a nonuniform family of promise decision problems as an oracle, we can define a Turing reduction witnessed by a certain nonuniform finite automata family. We demonstrate closure properties of certain nonuniform state complexity classes under such reductions. Turing reducibility further enables us to define a hierarchy of nonuniform nondeterministic state complexity classes.

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Yamakami, T. (2019). Relativizations of Nonuniform Quantum Finite Automata Families. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11493 LNCS, pp. 257–271). Springer Verlag. https://doi.org/10.1007/978-3-030-19311-9_20

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