A parameterized quantum circuit is a type of quantum circuit that includes adjustable parameters which can be tuned to optimize a particular function or task, making it essential for various quantum algorithms. These circuits leverage quantum gates whose angles or coefficients are set as parameters, allowing for the encoding of classical information and the construction of flexible models that adapt based on training data. This adaptability is vital for tasks like feature mapping, variational approaches, and neuron models in quantum computing.
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