Interference Automata

TL;DR

This paper introduces the Two-Way Optical Interference Automata (2OIA), a novel model leveraging optical interference to enhance language recognition capabilities beyond classical automata and explores its computational power and limitations.

Contribution

The paper proposes the 2OIA model, demonstrating its ability to recognize certain languages more efficiently than classical automata and comparing its power to quantum automata and Turing machines.

Findings

2OIA can recognize languages that 2QCFA can, showing increased computational power.

Efficient algorithms for specific language recognition using 2OIA are developed.

Some languages recognized by Turing machines are beyond 2OIA's capabilities.

Abstract

We propose a computing model, the Two-Way Optical Interference Automata (2OIA), that makes use of the phenomenon of optical interference. We introduce this model to investigate the increase in power, in terms of language recognition, of a classical Deterministic Finite Automaton (DFA) when endowed with the facility of optical interference. The question is in the spirit of Two-Way Finite Automata With Quantum and Classical States (2QCFA) [A. Ambainis and J. Watrous, Two-way Finite Automata With Quantum and Classical States, Theoretical Computer Science, 287 (1), 299-311, (2002)] wherein the classical DFA is augmented with a quantum component of constant size. We test the power of 2OIA against the languages mentioned in the above paper. We give efficient 2OIA algorithms to recognize languages for which 2QCFA machines have been shown to exist, as well as languages whose status vis-a-vis 2QCFA has been posed as open questions. Finally we show the existence of a language that cannot be recognized by a 2OIA but can be recognized by an $O(n^3)$ space Turing machine.