The roles of Kerr nonlinearity in a bosonic quantum neural network
From MaRDI portal
Publication:6042489
DOI10.1088/1367-2630/acbc43zbMath1510.81167arXiv2205.04753OpenAlexW4320891708MaRDI QIDQ6042489
Unnamed Author, Unnamed Author, Unnamed Author, Unnamed Author
Publication date: 10 May 2023
Published in: New Journal of Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.04753
quantum opticsKerr nonlinearityquantum neural networksquantum machine learningquantum state generation
Cites Work
- Implementing the Nelder-Mead simplex algorithm with adaptive parameters
- Reservoir computing approaches to recurrent neural network training
- Universal linear optics
- The Nelder-Mead Simplex Procedure for Function Minimization
- Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- A simulation study of artificial neural networks for nonlinear time-series forecasting
- Creating and concentrating quantum resource states in noisy environments using a quantum neural network
This page was built for publication: The roles of Kerr nonlinearity in a bosonic quantum neural network