arXiv subjects

Engin Şahin

Publications and source records attributed to Engin Şahin.

3 recordsLinked to original sources

arXiv2020

Quantum arithmetic operations based on quantum Fourier transform on signed integers

The quantum Fourier transform (QFT) brings efficiency in many respects, especially usage of resource, for most operations on quantum computers. In this study, the existing QFT-based and non-QFT-based quantum arithmetic operations are examined. The capabilities of QFT-based addition and multiplication are improved with some modifications. The proposed operations are compared with the nearest quantum arithmetic operations. Furthermore, novel QFT-based subtraction, division and exponentiation operations are presented. The proposed arithmetic operations can perform nonmodular operations on all signed numbers without any limitation by using less resources. In addition, novel quantum circuits of two's complement, absolute value and comparison operations are also presented by using the proposed QFT-based addition and subtraction operations.

cs.IT↗

arXiv2018

Security of NEQR Quantum Image by Using Quantum Fourier Transform with Blind Trent

In this study, the security of Novel Enhanced Quantum Representation (NEQR) of quantum images are suggested by using the Quantum Fourier Transform (QFT) with blind trent. In the protocol, QFT and keys are used to share signature with recipients. So all members know only their signature information which are encrypted output of the QFT. This improves the security of the protocol. In addition, the security of the protocol is provided by using reorder QFT output qubits with permutation of the blind trent. The security analysis expresses security of the transfer of the image with effective secret key usage.

quant-ph↗

arXiv2018

QRMW: Quantum representation of multi wavelength images

In this study, we propose quantum representation of multi wavelength images (QRMW) which gives preparation and retrieving procedures of quantum images. Proposed QRMW model represents multi-channel and 2^n x 2^m images. Also, we present image comparison and some image operations based on QRMW model. Comparing our model with the models in literature, QRMW model has less time complexity. Also QRMW model uses fewer qubits than existing models in the literature.

quant-ph↗