1. Universal quantum state preparation via revised greedy algorithm
- Author
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Shen-Shuang Nie, Hai-Da Liu, Run-Hong He, Jing Wu, Sheng-Bin Wang, and Zhao-Ming Wang
- Subjects
Scheme (programming language) ,Quantum Physics ,Physics and Astronomy (miscellaneous) ,Computer science ,Materials Science (miscellaneous) ,FOS: Physical sciences ,Context (language use) ,Potential method ,Atomic and Molecular Physics, and Optics ,Maxima and minima ,Quantum state ,State (computer science) ,Electrical and Electronic Engineering ,Maxima ,Greedy algorithm ,Quantum Physics (quant-ph) ,Algorithm ,computer ,computer.programming_language - Abstract
Preparation of quantum state lies at the heart of quantum information processing. The greedy algorithm provides a potential method to effectively prepare quantum states. However, the standard greedy algorithm, in general, cannot take the global maxima and instead becomes stuck on a local maxima. Based on the standard greedy algorithm, in this paper we propose a revised version to design dynamic pulses to realize universal quantum state preparation, i.e., preparing any arbitrary state from another arbitrary one. As applications, we implement this scheme to the universal preparation of single- and two-qubit state in the context of semiconductor quantum dots and superconducting circuits. Evaluation results show that our scheme outperforms the alternative numerical optimizations with higher preparation quality while possesses the comparable high efficiency. Compared with the emerging machine learning, it shows a better accessibility and does not require any training. Moreover, the numerical results show that the pulse sequences generated by our scheme are robust against various errors and noises. Our scheme opens a new avenue of optimization in few-level system and limited action space quantum control problems.
- Published
- 2021
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