arXiv:quant-ph/0401127

Quantum computing in neural networks

P. Gralewicz

Published Jan 21, 2004• 3 citations

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.

DOI: 10.48550/arxiv.quant-ph/0401127

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