D-2-1 Quantum Neural Network's Theory and Its Calculation(General Session in English (2))
-
- Matsuura H
- National Center for Geriatrics and Gerontology, Dep. of Gerontechnology
-
- Ishikawa K
- National Center for Geriatrics and Gerontology, Dep. of Gerontechnology
-
- Kamiya N
- National Center for Geriatrics and Gerontology, Dep. of Gerontechnology
抄録
We rewrote the famous Bayes' theory into quantum Bayes' Form. In order to practice that process, all of classical probabilities were necessary that they were reinterpreted into operators, state vectors, probability amplitude, and expectation values. The difference between classical version and quantum form was whether interference's term exists or not. Quantum Bayes' form had the additional term Re(Int). At junctions, all of pure states were mixed. Some attenuated states were generated instead of all pure states at junction. In neurons, examples of those areas meant neuro-synaptic junctions, ephapse of axons, and endplate of muscles, and so on. Final state vector ∖B> had the various information of environmental state at the conditions of the mixed and reduced purities. So, if we would like to obtain the pure state and the other quantities, we needed take a series of mathematical operations as making expectation values
収録刊行物
-
- バイオメディカル・ファジィ・システム学会大会講演論文集
-
バイオメディカル・ファジィ・システム学会大会講演論文集 26 (0), 109-110, 2013
バイオメディカル・ファジィ・システム学会
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1390001205229253376
-
- NII論文ID
- 110009830369
-
- ISSN
- 24242586
- 13451510
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可