dorsal/arxiv
View SchemaQuantum computing in neural networks
| Authors | P. Gralewicz |
|---|---|
| Categories | |
| ArXiv ID | quant-ph/0401127 |
| URL | https://arxiv.org/abs/quant-ph/0401127 |
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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"abstract": "According to the statistical interpretation of quantum theory, quantum\ncomputers form a distinguished class of probabilistic machines (PMs) by\nencoding n qubits in 2n pbits (random binary variables). This raises the\npossibility of a large-scale quantum computing using PMs, especially with\nneural networks which have the innate capability for probabilistic information\nprocessing. Restricting ourselves to a particular model, we construct and\nnumerically examine the performance of neural circuits implementing universal\nquantum gates. A discussion on the physiological plausibility of proposed\ncoding scheme is also provided.",
"arxiv_id": "quant-ph/0401127",
"authors": [
"P. Gralewicz"
],
"categories": [
"quant-ph",
"q-bio.NC"
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"title": "Quantum computing in neural networks",
"url": "https://arxiv.org/abs/quant-ph/0401127"
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