Quantum Pushdown Automata with Garbage Tape

Author:

Nakanishi Masaki1

Affiliation:

1. Department of Education, Art and Science, Yamagata University, 1–4–12 Kojirakawa, Yamagata 990–8560, Japan

Abstract

Several kinds of quantum pushdown automata models have been proposed, and their computational power has been investigated intensively. However, for some quantum pushdown automaton models, it is unknown whether quantum models are at least as powerful as their classical counterparts or not. This is due to the reversibility restriction. In this paper, we introduce a new quantum pushdown automaton model that has a garbage tape. This model can overcome the reversibility restriction by exploiting the garbage tape to store popped symbols. We show that the proposed model can simulate any quantum pushdown automaton with classical stack as well as any probabilistic pushdown automaton. We also show that our model can solve a certain promise problem exactly while deterministic pushdown automata cannot. These results imply that our model is strictly more powerful than its classical counterparts in the setting of exact, one-sided error and non-deterministic computation. Showing impossibility for a promise problem is a difficult task in general. However, by analyzing the behavior of a deterministic pushdown automaton carefully, we obtained the impossibility result. This is one of the main contributions of the paper.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. References;Foundations of Quantum Programming;2024

2. Models of quantum computation;Foundations of Quantum Programming;2024

3. Characterization of Tree Automata Based on Quantum Logic;International Journal of Theoretical Physics;2022-02

4. On entropy and reversibility of pushdown dynamical systems;Topology and its Applications;2020-03

5. How Does Adiabatic Quantum Computation Fit into Quantum Automata Theory?;Descriptional Complexity of Formal Systems;2019

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