English

A model of interacting quantum neurons with a dynamic synapse

Quantum Physics 2022-07-13 v2

Abstract

Motivated by recent advances in neuroscience, in this work, we explore the emergent behaviour of quantum systems with a dynamical biologically-inspired qubits interaction. We use a minimal model of two interacting qubits with an activity-dependent dynamic interplay as in classical dynamic synapses that induces the so-called synaptic depression, that is, synapses that present synaptic fatigue after heavy presynaptic stimulation. Our study shows that in absence of synaptic depression the 2-qubits quantum system shows typical Rabi oscillations whose frequency decreases when synaptic depression is introduced, so one can trap excitations for a large period of time. This creates a population imbalance between the qubits even though the Hamiltonian is Hermitian. This imbalance can be sustained in time by introducing a small energy shift between the qubits. In addition, we report that long-time entanglement between the two qubits raises naturally in the presence of synaptic depression. Moreover, we propose and analyse a plausible experimental setup of our 2-qubits system which demonstrates that these results are robust and can be experimentally obtained in a laboratory.

Keywords

Cite

@article{arxiv.2112.13368,
  title  = {A model of interacting quantum neurons with a dynamic synapse},
  author = {J. J. Torres and D. Manzano},
  journal= {arXiv preprint arXiv:2112.13368},
  year   = {2022}
}

Comments

15 pages, 5 figures

R2 v1 2026-06-24T08:31:50.864Z