Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

The study addresses estimating repeatedly nested expectations (RNEs), crucial for optimal stopping problems. The authors developed a quantum algorithm using Quantum Amplitude Estimation to estimate these expectations, achieving an almost quadratic speedup over the best classical methods. This means the quantum approach requires significantly fewer samples to get the same accuracy.

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