Basic property of a quantum neural network composed of Kane's qubits

It has been known a variety of optimization problems can be solved with a neural network, and a quantum computer executes real parallel computation. A quantum neural network has been proposed in order to incorporate quantum dynamics. In this paper, we test the possibility of real implementation of a...

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Bibliographic Details
Main Authors: Nakamiya, Y., Kinjo, M., Takahashi, O., Sato, S., Nakajima, K.
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
Computer networks
Concurrent computing
Electronic mail
Laboratories
Magnetoelectronics
Nanoelectronics
Neural networks
Neurons
Quantum computing
Online Access:Request full text
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Summary:It has been known a variety of optimization problems can be solved with a neural network, and a quantum computer executes real parallel computation. A quantum neural network has been proposed in order to incorporate quantum dynamics. In this paper, we test the possibility of real implementation of a quantum neural network with a nuclear spin as a qubit. First, we introduce the relation between spin and neuron, then describe the adiabatic Hamiltonian evolution applied for the state change. Next, we describe a real spin quantum system and show the simulation results. A nuclear spin system proposed by Kane behaves as a neuron with inhibitory interactions as expected in analogy to a Hopfield network.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2005.1556007