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Shorの素因数分解アルゴリズムにおける計算量の精密な評価

Year: 2005

Type: article

Abstract: ．。．p許に対して，十分大きい確率で正しく素因数分解するために必要なアルゴリズムの実行回数Nは

Source: Institutional Repositories DataBase (IRDB)

Authors: 栗山, 憲, 佐野, 慎太郎, 古市, 茂

Institutions: Yamaguchi University, Tokyo University of Science, Sanyo-Onoda City University

Language: Japanese

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7033778458

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