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Copy file name to clipboardexpand all lines: docs/source/ParameterizedCircuits.ipynb
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"Variational quantum algorithms are a family of mixed quantum-classical algorithms that try to achieve a quantum advantage via low-depth circuits. This is achieved by offloading a substantial amount of computational work to a classical processor. The quantum circuits employed by variational quantum algorithms involve *parameterized gates* which depend on some a-priori uninstantiated variable.\n",
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"Variational quantum algorithms try to optimize the circuit's parameters in each iteration with the classical post-processor while the quantum circuit is used to compute the cost function that is being optimized. Because recompiling the quantum circuit in each of these iterations is a costly procedure, the circuit is usually compiled in *paramterized* form in which the parameters tuned by the classical optimization routine are not bound to specific values.\n",
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"Variational quantum algorithms try to optimize the circuit's parameters in each iteration with the classical post-processor while the quantum circuit is used to compute the cost function that is being optimized. Because recompiling the quantum circuit in each of these iterations is a costly procedure, the circuit is usually compiled in *parameterized* form in which the parameters tuned by the classical optimization routine are not bound to specific values.\n",
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"As is the case with parameter-free circuits, errors can be made during the compilation process. Therefore, verifying the correctness of compilations of parameterized quantum circuits is an important task for near-term quantum computing.\n",
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