F. Chiarello, P. Carelli, M. G. Castellano, G. Torrioli
We propose a scheme for the realization of an artificial neural network based on Superconducting Quantum Interference Devices (SQUIDs). In order to demonstrate the operation of this scheme we designed and successfully tested at 350mK a small network trained to implement an XOR gate. These measurements are performed in the classical regime, but the scheme is entirely based on elements tested in quantum computing applications (flux qubits, flux discriminator, superconducting couplings) and it is suitable for future implementation of solid state quantum neural networks.
View original:
http://arxiv.org/abs/1205.1422
No comments:
Post a Comment