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Protocol for implementing quantum nonparametric learning with trapped ions
A quantum training state is introduced to superpose all data of samples, encoding relevant information for learning in its bipartite entanglement spectrum.
Nonlinear regression based on a hybrid quantum computer
Incorporating nonlinearity into quantum machine learning is essential for learning a complicated input-output mapping.
Realizing quantum linear regression with auxiliary qumodes
In order to exploit quantum advantages, quantum algorithms are indispensable for operating machine learning with quantum computers.
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