Looking upon every encoding state of quantum information systems as a quantum information pattern, A kind of patterndistance between different patterns as a measurement of comparability of quantum information patterns is defined, and two kinds of recognition algorithms based on patterndistance for quantum information are proposed. They can respectively recognize quantum information with known objective pattern and unknown objective pattern. In the two algorithms, the phases and occurrence probabilities of different eigenpatterns of quantum information are sufficiently considered. Two examples demonstrate the feasibility and effectiveness of the two recognition methods. These algorithms point out a new and important path for applications of quantum information and pattern recognition.
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