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Abstract: In this paper I would like to introduce genetic programming application to one-way quantum finite state automata (QFA) generation. (Update)
Active bibliography (related documents): More All
0.7: Quantum Learning by Finite Automata - Bonner, Freivalds (Correct)
0.3: Learning From Zero Information - Greiziqa, Grundmane (2002) (Correct)
0.3: Capabilities of Finite Standardization - Tervits (Correct)
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0.9: Size of Finite Probabilistic and Quantum Automata - Bonner, Freivalds, Rasscevskis (2002) (Correct)
0.9: The Complexity of Probabilistic VS Quantum Finite Automata - Midrijanis (Correct)
0.8: Characterizations of 1-Way Quantum Finite Automata - Brodsky, Pippenger (Correct)
BibTeX entry: (Update)
@misc{ luchko-genetic,
author = "Alexey Luchko",
title = "Genetic Programming Application to One-way Quantum Finite State Automata
Generation",
url = "citeseer.ist.psu.edu/523944.html" }
Citations (may not include all citations):21 the power of quantum finite state automata - Kondacs, Watrous - 1997
19 Quantum Computing (context) - Gruska - 1999
13 way quantum finite automata: strengths (context) - Ambainis, Freivalds - 1998
4 Lecture Notes in Computer Science (context) - Freivalds, Winter et al. - 2001
3 Towards axiomatic basis of inductive inference (context) - Brzdi, Freivalds et al. - 2001
1 the robot going around the wall (context) - Krutjko, application et al. - 2002
Documents on the same site (http://www.ima.mdh.se/personal/rbr/courses/riga02proc.html): More
Size of Finite Probabilistic and Quantum Automata - Bonner, Freivalds, Rasscevskis (2002) (Correct)
Capabilities of Finite Standardization - Tervits (Correct)
Boolean Function Computation by Probabilistic and Quantum.. - Kravcevs (Correct)
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