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Quadratic quantum speedups for minimax search and Monte Carlo expectation don't destroy each other when nested: stochastic game trees can be solved with simultaneous quadratic reductions in both branching factor and precision error.
Larger parameterized quantum circuits can enhance generalization performance, defying traditional expectations of model degradation.
