Quantum-Inspired Computational Modeling of Spatial Immune Aging: A Tensor Product Approach

Background: Immunosenescence, the age-related decline in immune function, represents a critical challenge in geriatric medicine. Traditional modeling approaches fail to capture the spatial heterogeneity and compositional complexity of the aging immune system.Methods: We developed a quantum-inspired tensor product Hilbert space framework integrating 11 immune cell types across 8 tissue compartments (dimension: 88). Two cohorts—young adults (65 years)—were simulated using empirically derived distributions from recent immune cell census studies. State evolution was governed by a spatial Hamiltonian incorporating intratissue dynamics, cellular trafficking, and cytokine-mediated coupling.Results: The elderly cohort exhibited hallmark immunosenescence signatures: 30% reduction in naive T lymphocytes (p