Towards a feasible implementation of quantum neural networks using quantum dots

• Main Authors: Altaisky, Mikhail V., Zolnikova, Nadezhda N., Kaputkina, Natalia E., Krylov, Victor A., Lozovik, Yurii E., Dattani, Nikesh S.
• Other Authors: School of Materials Science & Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Quantum dots; Phonons
• Online Access: https://hdl.handle.net/10356/81516; http://hdl.handle.net/10220/40834
• Institution: Nanyang Technological University

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.