Module for arbitrary controlled rotation in gate-based quantum algorithms
Wei Cui and
Shilu Yan
Physica A: Statistical Mechanics and its Applications, 2023, vol. 626, issue C
Abstract:
Almost all gate-based quantum algorithms involving controlled rotation modules have faced the same challenges of limited quantum resources in the noisy intermediate-scale quantum (NISQ) era. Based on quantum phase estimation, this paper proposes a general module for arbitrary controlled rotation in gate-based quantum algorithms, which can be applied in the Harrow–Hassidim–Lloyd (HHL) algorithms and some other quantum algorithms. Numerical results show that the proposed module only requires a small number of auxiliary qubits to ensure the high fidelity of the HHL algorithm. Compared with the polynomial fitting function method, within a certain error range, the module only needs fewer quantum gates to realize the controlled rotation module of the HHL algorithm. Since the gate complexity of the module is associated with phase estimation, the gate complexity is also polynomial if the diagonal unitary matrix in phase estimation can be decomposed efficiently.
Keywords: HHL algorithm; Controlled rotation; Quantum algorithm (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437123006477
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:626:y:2023:i:c:s0378437123006477
DOI: 10.1016/j.physa.2023.129092
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().