Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks

Experimentally realized in situ backpropagation for deep learning in photonic neural networks

(2023) Sunil Pai et al.   SCIENCE

Potential and limitations of quantum extreme learning machines

(2023) L. Innocenti et al.   Communications Physics

Self-Learning Machines Based on Hamiltonian Echo Backpropagation

(2023) Víctor López-Pastor et al.   Physical Review X

Scalable Photonic Platform for Real-Time Quantum Reservoir Computing

(2023) Jorge García-Beni et al.   Physical Review Applied

Deep physical neural networks trained with backpropagation

(2022) Logan G. Wright et al.   NATURE

Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware

(2022) Mitsumasa Nakajima et al.   Nature Communications

Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks

(2021) Abdulkadir Canatar et al.   Nature Communications

Dynamical Phase Transitions in Quantum Reservoir Computing

(2021) Rodrigo Martínez-Peña et al.   PHYSICAL REVIEW LETTERS

Photonic extreme learning machine by free-space optical propagation

(2021) Davide Pierangeli et al.   Photonics Research

Fisher Information in Noisy Intermediate-Scale Quantum Applications

(2021) Johannes Jakob Meyer   Quantum

Fundamental bounds on the fidelity of sensory cortical coding

(2020) Oleg I. Rumyantsev et al.   NATURE

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

(2020) R. Martínez-Peña et al.   Cognitive Computation

Temporal Information Processing on Noisy Quantum Computers

(2020) Jiayin Chen et al.   Physical Review Applied

Recent advances in physical reservoir computing: A review

(2019) Gouhei Tanaka et al.   NEURAL NETWORKS

Supervised learning with quantum-enhanced feature spaces

(2019) Vojtěch Havlíček et al.   NATURE

Optical Reservoir Computing Using Multiple Light Scattering for Chaotic Systems Prediction

(2019) Jonathan Dong et al.   IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS

All-optical machine learning using diffractive deep neural networks

(2018) Xing Lin et al.   SCIENCE

Rapid time series prediction with a hardware-based reservoir computer

(2018) Daniel Canaday et al.   CHAOS

Deep learning with coherent nanophotonic circuits

(2017) Yichen Shen et al.   Nature Photonics

Harnessing Disordered-Ensemble Quantum Dynamics for Machine Learning

(2017) Keisuke Fujii et al.   Physical Review Applied

Population-Level Neural Codes Are Robust to Single-Neuron Variability from a Multidimensional Coding Perspective

(2016) Jorrit S. Montijn et al.   Cell Reports

A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron

(2015) S. Ortín et al.   Scientific Reports

Arbitrary manipulation of spatial amplitude and phase using phase-only spatial light modulators

(2014) Long Zhu et al.   Scientific Reports

Information Processing Capacity of Dynamical Systems

(2012) Joni Dambre et al.   Scientific Reports

Unified View of Quantum and Classical Correlations

(2010) Kavan Modi et al.   PHYSICAL REVIEW LETTERS

Random Quantum Circuits are Approximate 2-designs

(2009) Aram W. Harrow et al.   COMMUNICATIONS IN MATHEMATICAL PHYSICS

Memory in linear recurrent neural networks in continuous time

(2009) Michiel Hermans et al.   NEURAL NETWORKS

Noise in the nervous system

(2008) A. Aldo Faisal et al.   NATURE REVIEWS NEUROSCIENCE