Experimental photonic quantum memristor

Michele Spagnolo (Corresponding author), Joshua Morris, Simone Piacentini, Michael Antesberger, Francesco Massa, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Philip Walther

Publications: Contribution to journalArticlePeer Reviewed


Memristive devices are a class of physical systems with history-dependent dynamics characterized by signature hysteresis loops in their input-output relations. In the past few decades, memristive devices have attracted enormous interest in electronics. This is because memristive dynamics is very pervasive in nanoscale devices, and has potentially groundbreaking applications ranging from energy-efficient memories to physical neural networks and neuromorphic computing platforms. Recently, the concept of a quantum memristor was introduced by a few proposals, all of which face limited technological practicality. Here we propose and experimentally demonstrate a novel quantum-optical memristor (based on integrated photonics) that acts on single-photon states. We fully characterize the memristive dynamics of our device and tomographically reconstruct its quantum output state. Finally, we propose a possible application of our device in the framework of quantum machine learning through a scheme of quantum reservoir computing, which we apply to classical and quantum learning tasks. Our simulations show promising results, and may break new ground towards the use of quantum memristors in quantum neuromorphic architectures.A quantum-optical memristor is realized by means of a laser-written integrated photonic circuit. The memristive dynamics of the device is fully characterized. A memristor-based quantum reservoir computer is proposed as a possible application.
Original languageEnglish
Pages (from-to)318-323
Number of pages6
JournalNature Photonics
Issue number4
Early online date24 Mar 2022
Publication statusPublished - Apr 2022

Austrian Fields of Science 2012

  • 103021 Optics



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