Circuit of Quantum Fractional Fourier Transform

Author:

Zhao Tieyu1ORCID,Chi Yingying2

Affiliation:

1. Information Science Teaching and Research Section, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

2. College of Marxism, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

Abstract

In this paper, we first use the quantum Fourier transform (QFT) and quantum phase estimation (QPE) to realize the quantum fractional Fourier transform (QFrFT). As diverse definitions of the discrete fractional Fourier transform (DFrFT) exist, the relationship between the QFrFT and a classical algorithm is then established; that is, we determine the classical algorithm corresponding to the QFrFT. Second, we observe that many definitions of the multi-fractional Fourier transform (mFrFT) are flawed: when we attempt to propose a design scheme for the quantum mFrFT, we find that there are many invalid weighting terms in the definition of the mFrFT. This flaw may have very significant impacts on relevant algorithms for signal processing and image encryption. Finally, we analyze the circuit of the QFrFT and the reasons for the observed defects.

Funder

Fundamental Research Funds for the Central Universities

the Scientific Research Projects of Hebei colleges and universities

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Reference36 articles.

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3. Shor, P.W. (1994, January 20–22). Algorithms for Quantum Computation: Discrete Logarithms and Factoring. Proceedings of the 35th Annual Symposium on Foundation of Computer Science, Washington, DC, USA.

4. Coppersmith, D. (2002). An approximate Fourier transform useful in quantum factoring. arXiv.

5. Photonic quantum information processing: A review;Flamini;Rep. Prog. Phys.,2018

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