DOAJ Open Access 2026

Canonical quantization of a memristive leaky integrate-and-fire neuron circuit

Dean Brand Domenica Dibenedetto Francesco Petruccione

Abstrak

We present a theoretical framework for a quantized memristive Leaky Integrate-and-Fire (LIF) neuron, uniting principles from neuromorphic engineering and open quantum systems. Starting from a classical memristive LIF circuit, we apply canonical quantization techniques to derive a quantum model grounded in circuit quantum electrodynamics. Numerical simulations demonstrate key dynamical features of the quantized memristor and LIF neuron in the weak-coupling and adiabatic regime, including memory effects and spiking behavior. Applications of this model to a sound localization benchmark show that it outperforms a phenomenological quantum LIF model as well as a classical LIF. This work establishes a foundational model for quantum neuromorphic computing, offering a pathway toward biologically inspired quantum spiking neural networks and paradigms in quantum machine learning.

Topik & Kata Kunci

Penulis (3)

D

Dean Brand

D

Domenica Dibenedetto

F

Francesco Petruccione

Format Sitasi

Brand, D., Dibenedetto, D., Petruccione, F. (2026). Canonical quantization of a memristive leaky integrate-and-fire neuron circuit. https://doi.org/10.1103/y61v-2bxf

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Tahun Terbit
2026
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DOAJ
DOI
10.1103/y61v-2bxf
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Open Access ✓