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My research focuses on exploring quantum entanglement and information processing in interacting spin chains, with an emphasis on understanding how different forms of order, such as long-range and topological order, manifest in many-body quantum systems. Using tensor network methods, I study the structure of quantum correlations and phase transitions from an information-theoretic perspective, aiming to reveal how entanglement characterises complex quantum phases. In parallel, I investigate quantum reservoir computing, which utilises the intrinsic dynamics of spin chains as a computational resource. An interdisciplinary approach connects many-body quantum physics, quantum information theory, and machine learning, advancing our understanding of how strongly correlated quantum systems can process and store information.