Towards a feasible implementation of quantum neural networks using quantum dots

Applied Physics Letters. 2016. Vol. 108. No. 10. P. 103108 .

Altaisky M. V., Zolnikova N. N., Kaputkina N. E., Krylov V. A., Лозовик Ю. Е., Dattani N. S.

We propose an implementation of quantum neural networks using an array of quantum dots with dipole-dipole interactions. We demonstrate that this implementation is both feasible and versatile by studying it within the framework of GaAs based quantum dotqubits coupled to a reservoir of acoustic phonons. Using numerically exact Feynman integral calculations, we have found that the quantum coherence in our neural networks survive for over a hundred ps even at liquid nitrogen temperatures (77 K), which is three orders of magnitude higher than current implementations, which are based on SQUID-based systems operating at temperatures in the mK range.

Ключевые слова: нейронные сети, квантовые вычисления, neural networks, квантовые точки, quantum dots, quantum computing

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