2016
DOI: 10.1007/978-3-319-34171-2_11
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Affine Computation and Affine Automaton

Abstract: Abstract. We introduce a quantum-like classical computational concept, called affine computation, as a generalization of probabilistic computation. After giving the basics of affine computation, we define affine finite automata (AfA) and compare it with quantum and probabilistic finite automata (QFA and PFA, respectively) with respect to three basic language recognition modes. We show that, in the cases of bounded and unbounded error, AfAs are more powerful than QFAs and PFAs, and, in the case of nondeterminis… Show more

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Cited by 15 publications
(27 citation statements)
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“…In previous research we studied alternating finite state automata. In this work we studied QFAs, and in the extended version of this paper [3] we consider the novel model of affine automata [6,15]. We think that these questions are interesting in their own rigth, and that they deserve further investigation.…”
Section: Discussionmentioning
confidence: 99%
“…In previous research we studied alternating finite state automata. In this work we studied QFAs, and in the extended version of this paper [3] we consider the novel model of affine automata [6,15]. We think that these questions are interesting in their own rigth, and that they deserve further investigation.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, the same question has been investigated in [1,2] for different models such as probabilistic, quantum, and affine finite automata (respectively, PFA, QFA, AfA). (We refer the reader to [6,24] for details of these models.) As these models are capable of storing information in their probabilities or amplitudes, they can be much more state-efficient than DFAs.…”
Section: The String Separation Problemmentioning
confidence: 99%
“…Proof. It is known that AfAs can recognize PAL with one-sided bounded-error [15,19] and so we can design a Las Vegas automaton for PAL-NPAL by using similar ideas given in [11,6].…”
Section: Las Vegas Algorithmsmentioning
confidence: 99%
“…This is mainly because quantum models are allowed to use negative amplitudes, by which interference can occur between configurations. In order to mimic quantum interference classically, recently a new concept called affine computation was introduced [4] and its finite automata versions (AfAs) have been examined [4,15,2,8]. Some underlying results are as follows: (i) they are more powerful than their probabilistic and quantum counterparts (PFAs and QFAs) with bounded and unbounded error; (ii) one-sided bounded-error AfAs and nondeterministic QFAs define the same class when using rational number transitions; and, (iii) AfAs can distinguish any given pair of strings by using two states with zero-error.…”
Section: Introductionmentioning
confidence: 99%
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