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Efficient Learning For Deep Quantum Neural Networks PDF

24 Pages·2019·English
by  ['ivi']
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by ['ivi']| 2019| 24 pages| English

About Efficient Learning For Deep Quantum Neural Networks

1) The document proposes a method for efficiently training deep quantum neural networks (QNNs) using quantum neurons as building blocks. 2) The training is done using fidelity as a cost function and can be implemented classically or efficiently on a quantum computer. 3) The method allows for fast optimization of deep QNNs while requiring fewer qubits that scale only with the network width, not depth.

Detailed Information

Author:['ivi']
Publication Year:2019
Pages:24
Language:English
Format:PDF
Price:FREE
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