Quantum memristor with vacuum-one-photon qubits

Quantum memristors represent a promising interface between quantum and neuromorphic computing, combining the nonlinear, memory-dependent behavior of classical memristors with the properties of quantum states. An optical quantum memristor can be realized with a vacuum-one-photon qubit entering a tunable beam splitter whose reflectivity is adapted according to the mean number of photons in the device. In this work, we report on the experimental implementation of a bulk quantum-optical memristor, working with single-rail coherent superposition states in the Fock basis, generated via a resonantly excited quantum dot single-photon source. We demonstrate that the coherence of the input state is preserved by the quantum memristor. Moreover, our modular platform allows investigating the nonlinear behavior arising from a cascade of two quantum memristors, a building block for larger networks of such devices toward the realization of complex neuromorphic quantum architectures.

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Publication Details

Journal
Physical Review Research
Published
2025-09-22
DOI
https://doi.org/10.1103/4kpy-xfq2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum memristor with vacuum-one-photon qubits

Taira Giordani, Beatrice Polacchi, Fabio Sciarrino, Simone Di Micco
Physical Review Research
Neural Networks and Reservoir Computing
article

Quantum memristor with vacuum-one-photon qubits

Taira Giordani, Beatrice Polacchi, Fabio Sciarrino, Simone Di Micco
article en

Abstract

Quantum memristors represent a promising interface between quantum and neuromorphic computing, combining the nonlinear, memory-dependent behavior of classical memristors with the properties of quantum states. An optical quantum memristor can be realized with a vacuum-one-photon qubit entering a tunable beam splitter whose reflectivity is adapted according to the mean number of photons in the device. In this work, we report on the experimental implementation of a bulk quantum-optical memristor, working with single-rail coherent superposition states in the Fock basis, generated via a resonantly excited quantum dot single-photon source. We demonstrate that the coherence of the input state is preserved by the quantum memristor. Moreover, our modular platform allows investigating the nonlinear behavior arising from a cascade of two quantum memristors, a building block for larger networks of such devices toward the realization of complex neuromorphic quantum architectures.

Physical Review ResearchVol. 7(4)
Sapienza University of Rome (IT)
Openalex Percentile: Top 83%
Neural Networks and Reservoir Computing
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Quantum memristor with vacuum-one-photon qubits — Taira Giordani, Beatrice Polacchi, et al. · Physical Review Research (2025) | TGRS Research Map | TGRS