Titlebook: Quantum Computing: An Applied Approach; Jack D. Hidary Book 20191st edition Springer Nature Switzerland AG 2019 Quantum computing.Quantum

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ing for, motivates the idea of endowing the dynamics of a neural network with a stochastic transition rule leading to a stationary distribution strongly peacked around global minima..Here we discuss several problems related to the dynamics of both deterministic and stochastic networks with an emphas

只看該作者 · 發(fā)表于 2025-3-23 21:37:05

Jack D. Hidarying for, motivates the idea of endowing the dynamics of a neural network with a stochastic transition rule leading to a stationary distribution strongly peacked around global minima..Here we discuss several problems related to the dynamics of both deterministic and stochastic networks with an emphas

只看該作者 · 發(fā)表于 2025-3-24 00:53:01

Jack D. Hidarying for, motivates the idea of endowing the dynamics of a neural network with a stochastic transition rule leading to a stationary distribution strongly peacked around global minima..Here we discuss several problems related to the dynamics of both deterministic and stochastic networks with an emphas

只看該作者 · 發(fā)表于 2025-3-24 06:07:43

Jack D. Hidarying for, motivates the idea of endowing the dynamics of a neural network with a stochastic transition rule leading to a stationary distribution strongly peacked around global minima..Here we discuss several problems related to the dynamics of both deterministic and stochastic networks with an emphas

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Jack D. Hidaryompare the results of various reactions. The observables can be the fragment multiplicity, the mass distributions or the kinematical properties. In this contribution, we are looking for such general features. We will limit the discussion to the observations themselves, rather than the interpretation

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