We propose to simulate quantum gates by LC resonators, where the amplitude and the phase of the voltage describe the quantum state. By controlling the capacitance or inductance of resonators, it is possible to control the phase of the voltage arbitrarily. A set of resonators acts as the phase-shift, the Hadamard, and the CNOT gates. They constitute a set of universal quantum gates. We also discuss an application to an artificial neuron. As an example, we study pattern recognition of numbers and alphabets by evaluating the similarity between an input and the reference pattern. We also study colored pattern recognition by using a complex neural network.

中文翻译：

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LC谐振器模拟的通用量子门，人工神经元和模式识别

我们建议通过LC谐振器模拟量子门，其中电压的幅度和相位描述量子状态。通过控制谐振器的电容或电感，可以任意地控制电压的相位。一组谐振器充当相移，Hadamard和CNOT门。它们构成了一组通用量子门。我们还讨论了对人工神经元的应用。例如，我们通过评估输入和参考模式之间的相似性来研究数字和字母的模式识别。我们还使用复杂的神经网络研究了彩色模式识别。