Towards a feasible implementation of quantum neural networks using quantum dots
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 phonon...
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| Main Authors: | , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2016
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| 在線閱讀: | https://hdl.handle.net/10356/81516 http://hdl.handle.net/10220/40834 |
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| 總結: | 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. |
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