What is the parameter-shift rule used for?

Question: What is the parameter-shift rule used for in quantum machine learning? A) Computing exact or analytic gradients of certain parameterized quantum gates by evaluating shifted circuit parameters B) Measuring the temperature of the quantum processor C) Removing all two-qubit gates from the circuit D) Creating a coupling map Correct: A Explanation: The parameter-shift rule estimates gradients by evaluating the circuit at shifted parameter values. It is widely used for training parameterized quantum circuits. Topic: quantum computing / quantum machine learning / gradients