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Quantum Computing Gate Emulation Using CMOS Oscillatory Cellular Neural Networks
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DOI：10.1109/TCSII.2024.3397846.png)
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This brief 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.
Keyword:
CMOS
cellular neural network (CNN)
computing
neuromorphic computing
polychronization
CMOS
cellular neural network (CNN)
computing
neuromorphic computing
polychronization
期刊
I
IF:
4.9
论文数:
8.8K
被引数:
2.5W
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