Generating samples from binomial distribution using fewest coin tosses

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We can generate samples from the binomial distribution B~(n,p) where p = 1/2 by tossing a fair coin n times and counting the number of times it comes up heads. I think the expected number of coin tosses required to generate each sample here is n; can any another method generate the samples using fewer coin tosses on average?