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quadratic unconstrained binary optimization : ウィキペディア英語版
quadratic unconstrained binary optimization

Quadratic unconstrained binary optimization (QUBO) is a pattern matching technique, common in machine learning applications. QUBO is an NP hard problem.
QUBO problems may sometimes be well-suited to algorithms aided by quantum annealing.
QUBO is given by the formula:
E(X_1, X_2, ... , X_N) = \sum_^N Q_ \times X_i \times X_j
==References==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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