Quantitative analysis of nonlinear optical input/output of a quantum-dot network based on the echo state property

Quantitative analysis of nonlinear optical input/output of a quantum-dot network based on the echo state property

The echo state property, which is related to the dynamics of a neural network excited by input driving signals, is one of the well-known fundamental properties of recurrent neural networks. During the echo state, the neural network reveals an internal memory function that enables it to remember past...

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Bibliographic Details
Main Authors: Kozuka, J. (Author), Miyata, Y. (Author), Nakamura, A. (Author), Nishimura, T. (Author), Ogura, Y. (Author), Sakai, S.-I (Author), Shimomura, S. (Author), Tanida, J. (Author), Tate, N. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
Driving signal
Excited states
Fundamental properties
Input-output
Internal memory
Memory functions
Nanocrystals
Network-based
Neural-networks
Nonlinear inputs
Non-linear optical
Nonlinear optics
Property
Recurrent neural networks
Semiconductor quantum dots
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