arXiv · 2507.03290
Qumode-Based Quantum Image Storage with Entropy-Guided Frame Indexing and Fidelity-Preserved Retrieval
Abstract
I propose a novel framework for quantum image storage using continuous-variable (CV) photonic systems. Unlike traditional qubit-based approaches, this model encodes grayscale image intensities into qumodes via coherent-state displacement operators. A delta evolution mechanism enables memory efficient storage by recording only intensity shifts between frames. To support scalable retrieval, I introduce entropy based frame indexing using von Neumann entropy. The proposed system is simulated using Strawberry Fields, demonstrating partial fidelity preservation and coherent phase-space behavior via Wigner function visualization. This approach offers a promising pathway toward scalable, photonic-compatible quantum memory models for quantum vision and imaging applications.
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Sanjit Krishna. 2025-07-04. Qumode-Based Quantum Image Storage with Entropy-Guided Frame Indexing and Fidelity-Preserved Retrieval. https://arxiv.org/abs/2507.03290
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