2003•arXiv (Cornell University)Open access

The Complexity of Probabilistic versus Quantum Finite Automata

Gatis Midrijānis

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Abstract

We present a language $L_n$ which is recognizable by a probabilistic finite automaton (PFA) with probability $1 - ε$ for all $ε> 0$ with $O(log^2n)$ states, with a deterministic finite automaton (DFA) with O(n) states, but a quantum finite automaton (QFA) needs at least $2^{Ω(n/ \log n)}$ states.

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We present a language $L_n$ which is recognizable by a probabilistic finite automaton (PFA) with probability $1 - ε$ for all $ε> 0$ with $O(log^2n)$ states, with a deterministic finite automaton (DFA) with O(n) states, but a quantum finite automaton (QFA) needs at least $2^{Ω(n/ \log n)}$ states.

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Available abstract

We present a language $L_n$ which is recognizable by a probabilistic finite automaton (PFA) with probability $1 - ε$ for all $ε> 0$ with $O(log^2n)$ states, with a deterministic finite automaton (DFA) with O(n) states, but a quantum finite automaton (QFA) needs at least $2^{Ω(n/ \log n)}$ states.

Key concepts: Quantum finite automata, Probabilistic logic, Quantum, Deterministic finite automaton, Theoretical computer science, Computer science, DFA minimization, Automaton

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