University of Granada Proposes Bio‑Inspired Quantum Brain Model

Spanish researchers at the University of Granada have introduced a theoretical framework for a “quantum brain” that mimics synaptic plasticity found in human neural networks. The model represents neuronal populations with fully‑connected qubits whose collective dynamics are governed by the Lipkin‑Meshkov‑Glick (LMG) Hamiltonian, a many‑body quantum system.

The proposal adds a feedback mechanism that adjusts qubit interactions based on activity, analogous to short‑term synaptic depression and facilitation. Published in *Quantum Science and Technology*, the work aims to open new avenues for quantum computing architectures capable of learning and adaptation, bridging quantum physics, theoretical neuroscience, and artificial intelligence research.