Block-wise quantum grayscale image representation and compression scheme using state connection

TL;DR

This paper introduces SCMNEQR, a quantum image representation and compression scheme that uses block-wise state label preparation and state connection to reduce qubit usage and improve compression efficiency.

Contribution

The paper proposes a novel SCMNEQR method that employs fewer qubits and a reset gate for state connection, enhancing quantum image compression for larger images.

Findings

Outperforms existing quantum image compression methods

Uses fewer qubits for larger images

Improves compression efficiency

Abstract

Quantum computing draws huge attention due to its faster computational capability compared to classical computing to represent and compress the classical image data into the quantum domain. The main idea of quantum domain representation is to convert pixel intensities and their coordinates i.e. state label preparation using quantum bits i.e. Qubits. For a bigger size image, the state label preparation takes more Qubits. To address more Qubits issues, a novel SCMNEQR (State Connection Modification Novel Enhanced Quantum Representation) approach has been proposed that uses fewer qubits to map the arbitrary size of the grayscale image using block-wise state label preparation. The proposed SCMNEQR approach introduces the state connection using a reset gate rather than repeating the use of the Toffoli gate used in the existing approach. The experimental results show that the proposed approach outperforms the existing methods in terms of compression.