Efficient quantum image representation and compression circuit using zero-discarded state preparation approach
This work addresses the problem of high circuit complexity in quantum image computing for researchers in quantum information processing, though it appears incremental as it builds on prior quantum representation methods.
The paper tackles the challenge of efficient quantum image representation and compression by introducing a zero-discarded state preparation approach, which reduces circuit complexity and requires 11.76% fewer qubits compared to existing methods.
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also increases, leading to the circuit complex. Therefore, efficient quantum image representation and compression issues are still challenging. The encoding of images for representation and compression in quantum systems is different from classical ones. In quantum, encoding of position is more concerned which is the major difference from the classical. In this paper, a novel zero-discarded state connection novel enhance quantum representation (ZSCNEQR) approach is introduced to reduce complexity further by discarding '0' in the location representation information. In the control operational gate, only input '1' contribute to its output thus, discarding zero makes the proposed ZSCNEQR circuit more efficient. The proposed ZSCNEQR approach significantly reduced the required bit for both representation and compression. The proposed method requires 11.76\% less qubits compared to the recent existing method. The results show that the proposed approach is highly effective for representing and compressing images compared to the two relevant existing methods in terms of rate-distortion performance.