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Quantum computing in neural networks

P. Gralewicz
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Abstract

According to the statistical interpretation of quantum theory, quantum computers form a distinguished class of probabilistic machines (PMs) by encoding n qubits in 2n pbits (random binary variables). This raises the possibility of a large-scale quantum computing using PMs, especially with neural networks which have the innate capability for probabilistic information processing. Restricting ourselves to a particular model, we construct and numerically examine the performance of neural circuits implementing universal quantum gates. A discussion on the physiological plausibility of proposed coding scheme is also provided.

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P. Gralewicz. 2004-02-11. Quantum computing in neural networks. https://arxiv.org/abs/quant-ph/0401127

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