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A novel state connection strategy for quantum computing to represent and compress digital images

conference contribution
posted on 2024-05-29, 00:57 authored by ME Haque, M Paul, Anwar Ulhaq, T Debnath
Quantum image processing draws a lot of attention due to faster data computation and storage compared to classical data processing systems. Converting classical image data into the quantum domain and state label preparation complexity is still a challenging issue. The existing techniques normally connect the pixel values and the state position directly. Recently, the EFRQI (efficient flexible representation of the quantum image) approach uses an auxiliary qubit that connects the pixel-representing qubits to the state position qubits via Toffoli gates to reduce state connection. Due to the twice use of Toffoli gates for each pixel connection still it requires a significant number of bits to connect each pixel value. In this paper, we propose a new SCMFRQI (state connection modification FRQI) approach for further reducing the required bits by modifying the state connection using a reset gate rather than repeating the use of the same Toffoli gate connection as a reset gate. Moreover, unlike other existing methods, we compress images using block-level for further reduction of required qubits. The experimental results confirm that the proposed method outperforms the existing methods in terms of both image representation and compression points of view.

History

Volume

2023-June

Start Page

1

End Page

5

Number of Pages

5

Start Date

2023-06-04

Finish Date

2023-06-10

eISSN

2379-190X

ISSN

1520-6149

ISBN-13

9781728163277

Location

Rhodes Island, Greece

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Name of Conference

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Parent Title

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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