Kurita Yukinari
Department of Physics, P-412, University of Alberta, Edomonton, Alberta, T6G 2J1, Canada.
Biosystems. 2005 Jun;80(3):263-72. doi: 10.1016/j.biosystems.2004.12.001. Epub 2005 Apr 11.
Recently, Tegmark pointed out that the superposition of ion states involved in the superposition of firing and resting states of a neuron quickly decohere. It undoubtedly indicates that neural networks cannot work as quantum computers, or computers taking advantage of coherent states. Does it also mean that the brain can be modeled as a neural network obeying classical physics? Here we show that it does not mean that the brain can be modeled as a neural network obeying classical physics. A brand new perspective in research of neural networks from quantum theoretical aspect is presented.
最近,泰格马克指出,神经元激发态和静息态叠加中涉及的离子态叠加会迅速退相干。这无疑表明神经网络不能像量子计算机那样工作,或者说不能像利用相干态的计算机那样工作。这是否也意味着大脑可以被建模为一个遵循经典物理学的神经网络呢?在这里我们表明,这并不意味着大脑可以被建模为一个遵循经典物理学的神经网络。本文从量子理论角度提出了神经网络研究的全新视角。