Bastrakova Marina V, Pashin Dmitrii S, Rybin Dmitriy A, Schegolev Andrey E, Klenov Nikolay V, Soloviev Igor I, Gorchavkina Anastasiya A, Satanin Arkady M
Faculty of Physics, Lobachevsky State University of Nizhni Novgorod, 603950 Nizhny Novgorod, Russia.
Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Beilstein J Nanotechnol. 2022 Jul 14;13:653-665. doi: 10.3762/bjnano.13.57. eCollection 2022.
We explore the dynamics of an adiabatic neural cell of a perceptron artificial neural network in a quantum regime. This mode of cell operation is assumed for a hybrid system of a classical neural network whose configuration is dynamically adjusted by a quantum co-processor. Analytical and numerical studies take into account non-adiabatic processes as well as dissipation, which leads to smoothing of quantum coherent oscillations. The obtained results indicate the conditions under which the neuron possesses the required sigmoid activation function.
我们研究了量子 regime 下感知器人工神经网络的绝热神经细胞的动力学。对于经典神经网络的混合系统，假设这种细胞操作模式，其配置由量子协处理器动态调整。分析和数值研究考虑了非绝热过程以及耗散，这导致量子相干振荡的平滑。所得结果表明了神经元具有所需的 sigmoid 激活函数的条件。
