A model of interacting quantum neurons with a dynamic synapse
Metadata
Show full item recordEditorial
Institute of Physics
Materia
Neurons Quantum information Entanglement Dynamical synapse
Date
2022-07-07Referencia bibliográfica
J J Torres and D Manzano 2022 New J. Phys. 24 073007. [https://doi.org/10.1088/1367-2630/ac7aaa]
Sponsorship
MICIN/AEI PID2020-113681GB-I00; FEDER A way to make Europe FEDER/Junta de Andalucia-Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades P20.00173 FEDER/Junta de Andalucia program A.FQM.752.UGR20Abstract
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 two-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 two-qubits system which demonstrates that these results are robust and
can be experimentally obtained in a laboratory.