Dynamic Synaptic Modulation of LMG Qubits populations in a Bio-Inspired Quantum Brain

2026/02/28 by J. J. Torres, E. Romera
Physics and Astronomy · #quant-ph #physics.comp-ph

paper · pdf · doi:10.1088/2058-9565/ae8a7b

published as Quantum Sci. Technol. 11 035048 (2026) · 27 pages, 11 figures

arxiv created 2026/08/02 · arxiv updated 2026/08/04

Abstract

We present a biologically inspired quantum neural network that encodes neuronal populations as fully connected qubits governed by the Lipkin-Meshkov-Glick (LMG) quantum Hamiltonian and modulated by a synaptic-efficacy feedback implementing activity-dependent changes in the collective time scale. The framework links collective quantum many-body modes and collective-state structure to population homeostasis and rhythmogenesis, outlining scalable computational primitives long-lived operating regimes, activity-dependent oscillation periods, and size-dependent robustness that position LMG-based architectures as promising blueprints for bio-inspired quantum brains on future quantum hardware.

Citations

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