Deep reinforcement learning for universal quantum state preparation via dynamic pulse control

Accurate and efficient preparation of quantum state is a core issue in building a quantum computer. In this paper, we investigate how to prepare a certain single- or two-qubit target state from arbitrary initial states in semiconductor double quantum dots with the aid of deep reinforcement learning....

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Veröffentlicht in:	arXiv.org 2021-08
Hauptverfasser:	Run-Hong He, Wang, Rui, Wu, Jing, Shen-Shuang Nie, Jia-Hui, Zhang, Zhao-Ming, Wang
Format:	Artikel
Sprache:	eng
Schlagworte:	Couplings Deep learning Electric pulses Entangled states Physics - Quantum Physics Quantum computers Quantum dots Qubits (quantum computing) Retraining
Online-Zugang:	Volltext
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