most citedRoadmap on Neuromorphic Photonics

18 citations · 19 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Experimental memory control in continuous variable optical quantum reservoir computing

Iris Paparelle, Johan Henaff, Jorge Garcia-Beni +6

Quantum reservoir computing (QRC) offers a promising framework for online quantum-enhanced machine learning tailored to temporal tasks, yet practical implementations with native me…

cs.ET202518 cited

Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…

quant-ph20241 cited

Quantum machine learning via continuous-variable cluster states and teleportation

Jorge García-Beni, Iris Paparelle, Valentina Parigi +3

A new approach suitable for distributed quantum machine learning and exhibiting memory is proposed for a photonic platform. This measurement-based quantum reservoir computing takes…

quant-ph2024

Neural networks with quantum states of light

Adrià Labay-Mora, Jorge García-Beni, Gian Luca Giorgi +2

Quantum optical networks are instrumental to address fundamental questions and enable applications ranging from communication to computation and, more recently, machine learning. I…

quant-ph2024

Role of coherence in many-body Quantum Reservoir Computing

Ana Palacios, Rodrigo Martínez-Peña, Miguel C. Soriano +2

Quantum Reservoir Computing (QRC) offers potential advantages over classical reservoir computing, including inherent processing of quantum inputs and a vast Hilbert space for state…