On equivalence, languages equivalence and minimization of multi-letter and multi-letter measure-many quantum automata
Tianrong Lin

TL;DR
This paper investigates the equivalence and minimization problems of multi-letter quantum finite automata, establishing conditions for their equivalence, proving certain language equivalence problems are undecidable, and discussing open problems in automata minimization.
Contribution
It provides new criteria for automata equivalence, proves undecidability of language equivalence problems, and discusses open challenges in automata minimization.
Findings
Automata equivalence can be characterized by a specific equivalence bound.
Non-strict cut-point language equivalence is undecidable for k-letter quantum automata.
Both strict and non-strict cut-point language equivalence are undecidable for measure many quantum automata.
Abstract
We first show that given a -letter quantum finite automata and a -letter quantum finite automata over the same input alphabet , they are equivalent if and only if they are -equivalent where , , are the numbers of state in respectively, and . By applying a method, due to the author, used to deal with the equivalence problem of {\it measure many one-way quantum finite automata}, we also show that a -letter measure many quantum finite automaton and a -letter measure many quantum finite automaton are equivalent if and only if they are -equivalent where , , are the numbers of state in respectively, and . Next, we study the language…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Machine Learning and Algorithms · semigroups and automata theory
