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Information Encoding and Retrieval in Photonic Systems

Yechi Ma

Published Jan 1, 2020• 1 citation
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This paper proposes a novel system, Quantum Entanglement Information Encoding and Retrieval System (QIEIRS), leveraging multi-body quantum entanglement for exceeding the capacity limitations of classical channels. The core claim rests on the parallel encoding of information through quantum superposition achieved via carefully designed entangled states, coupled with efficient information retrieval exploiting the inherent properties of entanglement. QIEIRS constructs a quantum network comprised of multiple entangled atoms or ions. The system's potential lies in circumventing the constraints imposed by classical channel capacity, offering the possibility of ultra-fast information processing. The theoretical framework outlines the key principles and equations governing the encoding and retrieval processes, focusing on the manipulation of entangled states for optimal information transfer. We present a model for the quantum network and explore the performance metrics, highlighting the advantages over conventional encoding schemes. The system design prioritizes scalability and robustness, crucial factors for practical implementation. Further research will concentrate on mitigating decoherence effects and developing efficient control mechanisms for large-scale entangled networks.
The integration of photon-counting imaging techniques and optical encryption systems can improve information authentication robustness against intruder attacks.Photon-counting imaging generates distributions with far fewer photons than conventional imaging, and provides substantial bandwidth reduction by generating a sparse encrypted data.We show that photon-limited encrypted distributions have sufficient information for successful decryption, authentication and signal retrieval.Additional compression of the encrypted distribution is applied by limiting the number of phase values used to reproduce the phase information of the complex-valued encrypted data.The validity of this technique -with and without phase compression -is probed through simulated experiments for two types of input images: alphanumerical signs and dithered natural scenes.