Variational quantum state preparation is a technique used to prepare a desired quantum state by optimizing a parameterized quantum circuit. This method leverages classical optimization algorithms to adjust the parameters of the circuit, enabling the generation of complex quantum states efficiently. It plays a crucial role in quantum machine learning and quantum algorithms where specific states are required for computation.
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