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Biologically motivated quantum neural networks

机译:生物动力量子神经网络

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摘要

This paper presents one step toward creating the building blocks for machine intelligence that is inspired by its biological equivalent. The authors' quantum learning methods (deep quantum learning) are applied to quantum devices whose quantum bit (q-bit) activity is deliberately chosen to mimic the spiking behavior of biological neurons. Because of the "quantum" scale of these computers, these studies may lead to quantum hardware (rather than simulation) with enough processors and enough connectivity that can more closely mimic biological intelligence.
机译:本文介绍了朝着创建机器智能构建模块的方向迈进的一步,该模块的灵感来自其生物学等效性。作者的量子学习方法(深度量子学习)应用于故意选择量子位(q位)活性以模仿生物神经元尖峰行为的量子设备。由于这些计算机的“量子”规模,这些研究可能会导致具有足够处理器和足够连通性的量子硬件(而不是模拟),可以更紧密地模仿生物智能。

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