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Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test
In the context of Noisy Intermediate-Scale Quantum (NISQ) computing, parameterized quantum circuits (PQCs) represent a promising paradigm for tackling challenges in quantum sensing, optimal control, optimization, and machine learning on near-term quantum hardware.
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