19 citations · 55 across the 9 of their papers we have counts for
9 papers
Computing with the complex nonlinear dynamics of an optomechanical oscillator
Shulamit Edelstein, Marcos Menendez, Bingrui Lu +5
An optomechanical oscillator undergoes a Hopf bifurcation that connects two dynamical regimes with different information-processing capabilities: thermal Brownian motion and cohere…
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…
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…
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…
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…
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…
Optical phase encoding in pulsed approach to reservoir computing
Johan Henaff, Matthieu Ansquer, Miguel C Soriano +3
The exploitation of the full structure of multimode light fields enables compelling capabilities in many fields including classical and quantum information science. We exploit data…
Quantum fidelity kernel with a trapped-ion simulation platform
Rodrigo Martínez-Peña, Miguel C. Soriano, Roberta Zambrini
Quantum kernel methods leverage a kernel function computed by embedding input information into the Hilbert space of a quantum system. However, large Hilbert spaces can hinder gener…
Squeezing as a resource for time series processing in quantum reservoir computing
Jorge García-Beni, Gian Luca Giorgi, Miguel C. Soriano +1
Squeezing is known to be a quantum resource in many applications in metrology, cryptography, and computing, being related to entanglement in multimode settings. In this work, we ad…