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07/07/2023
Learning Theory of Distribution Regression with Neural Networks
In this paper, we aim at establishing an approximation theory and a lear...
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05/12/2023
Distributed Gradient Descent for Functional Learning
In recent years, different types of distributed learning schemes have re...
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05/06/2023
Efficient information recovery from Pauli noise via classical shadow
The rapid advancement of quantum computing has led to an extensive deman...
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05/16/2022
Power and limitations of single-qubit native quantum neural networks
Quantum neural networks (QNNs) have emerged as a leading strategy to est...
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03/01/2022
Optimal quantum dataset for learning a unitary transformation
Unitary transformations formulate the time evolution of quantum states. ...
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04/21/2021
Robust Kernel-based Distribution Regression
Regularization schemes for regression have been widely studied in learni...
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06/16/2020