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QNN programs are composed of several parts: data encoder, ansatz, measurement and classical optimizer. In each iteration, the gradients of the parameters are calculated and the parameters are updated.
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Variational Quantum Algorithms (VQA) are promising to demonstrate quantum advantages on near-term devices. Designing ansatz, a variational circuit with parameterized gates, is of paramount importance for VQA as it lays the foundation for parameter optimizations. Due to the large noise on Noisy-Intermediate Scale Quantum (NISQ) machines, considering...
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