Memory preservation in highly-connected quantum networks (2503.05655v1)

Abstract: Complex quantum networks are powerful tools in the modeling of transport phenomena, particularly for biological systems, and enable the study of emergent entanglement structures or topology effects in of many-body quantum systems. Here, we study the transport properties of a quantum network described by the paradigmatic XXZ Hamiltonian, with non-trivial graph connectivity and topology, and long-range interaction. Adopting a combination of analytical and numerical methods to analyze the properties of increasingly complex architectures, we find that all-to-all connected regular network preserves over long times the memory of initially injected excitations, tracing it back to the system symmetries and the cooperative shielding. We then develop understanding of the conditions for this property to survive in quantum networks with either power-law node connectivity or complex, small-world type, architectures. Interestingly, we find that memory preserving effects occur also in sparse and more irregular graphs, though to a significantly lower degree. We discuss the implications of these properties in biology-related problems, such as an application to Weber's law in neuroscience, and their implementation in specific quantum technologies via biomimicry.