Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms

Autor:	Xiong, Yifeng, Ng, Soon Xin, Long, Gui-Lu, Hanzo, Lajos
Rok vydání:	2022
Předmět:	Quantum Physics Computer Science - Information Theory Electrical Engineering and Systems Science - Systems and Control
Zdroj:	IEEE Signal Processing Letters, Early Access, 2022
Druh dokumentu:	Working Paper
DOI:	10.1109/LSP.2022.3170005
Popis:	Quantum phase estimation is an important component in diverse quantum algorithms. However, it suffers from spectral leakage, when the reciprocal of the record length is not an integer multiple of the unknown phase, which incurs an accuracy degradation. For the existing single-sample estimation scheme, window-based methods have been proposed for spectral leakage mitigation. As a further advance, we propose a dual-frequency estimator, which asymptotically approaches the Cramer-Rao bound, when multiple samples are available. Numerical results show that the proposed estimator outperforms the existing window-based methods, when the number of samples is sufficiently high. Comment: 7 pages, 9 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2201.09323 Zobrazit plný text záznamu View this record from Arxiv