Qumode-Based Quantum Image Storage with Entropy-Guided Frame Indexing and Fidelity-Preserved Retrieval

TL;DR

This paper introduces a quantum image storage framework using continuous-variable photonic systems, employing entropy-guided frame indexing and coherent-state encoding to enhance scalability and fidelity in quantum memory applications.

Contribution

It presents a novel CV photonic quantum image storage model with entropy-based frame indexing and demonstrates its potential through simulation results.

Findings

Partial fidelity preservation demonstrated in simulations

Coherent phase-space behavior observed via Wigner functions

Entropy-guided indexing improves scalability

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.