# Experimental photonic quantum memristor

@article{Spagnolo2022ExperimentalPQ,
title={Experimental photonic quantum memristor},
author={Michele Spagnolo and Joshua Morris and Simone Piacentini and Michael Antesberger and Francesco Massa and Andrea Crespi and Francesco Ceccarelli and Roberto Osellame and Philip Walther},
journal={Nature Photonics},
year={2022}
}
• Published 11 May 2021
• Physics
• Nature Photonics
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…
16 Citations

### Quantum-Classical Hybrid Information Processing via a Single Quantum System

• Computer Science
• 2022
A quantum reservoir processor is proposed to harness quantum dynamics in computational tasks requiring both classical and quantum inputs and is demonstrated preparing quantum depolarizing channels as a novel quantum machine learning technique for quantum data processing.

### Unidirectional scattering with spatial homogeneity using photonic time disorder

• Physics
• 2022
The temporal degree of freedom in photonics has been a recent research hotspot due to its analogy with spatial axes, causality, and open-system characteristics. In particular, the temporal analogues

### Advances in Emerging Photonic Memristive and Memristive-Like Devices.

• Chemistry
Advanced science
• 2022
Possessing the merits of high efficiency, low consumption, and versatility, emerging photonic memristive and memristive-like devices exhibit an attractive future in constructing novel neuromorphic

### Scalable photonic platform for real-time quantum reservoir computing

• Computer Science
• 2022
This work proposes a photonic platform suitable for real-time QRC based on a physical ensemble of reservoirs in the form of identical optical pulses recirculating through a closed loop, and proposes a strategy to sustain the QRC performance when the size of the system is scaled up.

### Nonlinearity of photonic quantum memristors in high-frequency regime

• Computer Science, Physics
Photonics for Quantum
• 2022
A novel photonic tool, the quantum memristor, is presented which displays a nonlinear behavior, while preserving quantum coherence, through a weak controlled interaction of its input state with the environment.

### Quantum Noise-Induced Reservoir Computing

• Computer Science, Physics
ArXiv
• 2022
This study proposes a framework called quantum noise-induced reservoir computing and shows that some abstract quantum noise models can induce useful information processing capabilities for temporal input data and opens up a novel path for diverting useful information from quantum computer noises into a more sophisticated information processor.

### All-Printed Flexible Memristor with Metal–Non-Metal-Doped TiO2 Nanoparticle Thin Films

• Materials Science
Nanomaterials
• 2022
A memristor is a fundamental electronic device that operates like a biological synapse and is considered as the solution of classical von Neumann computers. Here, a fully printed and flexible

### Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances

• Medicine
World journal of radiology
• 2022
A similar holistic approach is proposed at the level of national/international policy formulation and implementation, to enable effective culmination of TB’s endgame, summarizing it with the acronym “TB - REVISITED”.

### Time Series Quantum Reservoir Computing with Weak and Projective Measurements

• Computer Science
• 2022
It is shown that it is possible to exploit the quantumness of the reservoir and to obtain ideal performance both for memory and forecasting tasks with two successful measurement protocols, and the possibility of performing genuine online time-series processing with quantum systems is demonstrated.

## References

SHOWING 1-10 OF 70 REFERENCES

### Quantum optical neural networks

• Physics, Computer Science
npj Quantum Information
• 2019
Through numerical simulation and analysis, the QONN is trained to perform a range of quantum information processing tasks, including newly developed protocols for quantum optical state compression, reinforcement learning, black-box quantum simulation, and one-way quantum repeaters.

### Memristive devices and systems

• Engineering
Proceedings of the IEEE
• 1976
A broad generalization of memristors--a recently postulated circuit element--to an interesting class of nonlinear dynamical systems called memristive systems is introduced. These systems are

### The missing memristor found

• Physics
Nature
• 2008
It is shown, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage.

### Mnist handwritten digit database

• ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist 2 (2010).
• 2010

### Memristor-The missing circuit element

A new two-terminal circuit element-called the memristorcharacterized by a relationship between the charge q(t)\equiv \int_{-\infty}^{t} i(\tau) d \tau and the flux-linkage \varphi(t)\equiv \int_{-

### The quest for a Quantum Neural Network

• Computer Science
Quantum Inf. Process.
• 2014
This article presents a systematic approach to QNN research, concentrating on Hopfield-type networks and the task of associative memory, and outlines the challenge of combining the nonlinear, dissipative dynamics of neural computing and the linear, unitary dynamics of quantum computing.

### Low Power Reconfigurability and Reduced Crosstalk in Integrated Photonic Circuits Fabricated by Femtosecond Laser Micromachining

• Physics
Laser & Photonics Reviews
• 2020
Femtosecond laser writing is a powerful technique that allows rapid and cost‐effective fabrication of photonic integrated circuits with unique 3D geometries. In particular, the possibility to

### Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

• Computer Science
Advanced Quantum Technologies
• 2021
In this review article, recent proposals and first experiments displaying a broad range of possibilities are reviewed when quantum inputs, quantum physical substrates and quantum tasks are considered.

### Perspective on photonic memristive neuromorphic computing

• Computer Science
• 2020
The need and the possibility to conceive a photonic memristor are discussed, a positive outlook on the challenges and opportunities for the ambitious goal of realising the next generation of full-optical neuromorphic hardware is offered.

### Fully hardware-implemented memristor convolutional neural network

• Computer Science
Nature
• 2020
The fabrication of high-yield, high-performance and uniform memristor crossbar arrays for the implementation of CNNs and an effective hybrid-training method to adapt to device imperfections and improve the overall system performance are proposed.