Quantum Computing Gate Emulation Using CMOS Oscillatory Cellular Neural Networks

This paper presents quantum computing gate emulation using polychronous oscillatory cellular neural networks. The oscillatory neural network consists of locally interacting ring oscillators and control switches, in a standard CMOS process. We apply impulse sensitivity function (ISF) theory to model the injection locking of the oscillators. We show the design of universal quantum gate emulation with oscillator circuits. Quantum circuits for the Greenberger–Horne–Zeilinger State and W State are emulated using CMOS oscillators and switches. Spectre simulation results agree with the quantum circuit theory.