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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Torres, J. J., Romera, E.
Format: Preprint
Published: 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912911225520128
author Torres, J. J.
Romera, E.
author_facet Torres, J. J.
Romera, E.
contents 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 stabilized by a synaptic-efficacy feedback implementing activity-dependent homeostatic control. The framework links collective quantum many-body modes and attractor structure to population homeostasis and rhythmogenesis, outlining scalable computational primitives -- stable set points, controllable oscillations, and size-dependent robustness -- that position LMG-based architectures as promising blueprints for bio-inspired quantum brains on future quantum hardware.
format Preprint
id arxiv_https___arxiv_org_abs_2602_16003
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Dynamic Synaptic Modulation of LMG Qubits populations in a Bio-Inspired Quantum Brain
Torres, J. J.
Romera, E.
Quantum Physics
Computational Physics
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 stabilized by a synaptic-efficacy feedback implementing activity-dependent homeostatic control. The framework links collective quantum many-body modes and attractor structure to population homeostasis and rhythmogenesis, outlining scalable computational primitives -- stable set points, controllable oscillations, and size-dependent robustness -- that position LMG-based architectures as promising blueprints for bio-inspired quantum brains on future quantum hardware.
title Dynamic Synaptic Modulation of LMG Qubits populations in a Bio-Inspired Quantum Brain
topic Quantum Physics
Computational Physics
url https://arxiv.org/abs/2602.16003