Optimal coin flipping

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Abstract

This paper studies the problem of simulating a coin of arbitrary real bias q with a coin of arbitrary real bias p with minimum loss of entropy. We establish a lower bound that is strictly greater than the information-theoretic bound. We show that as a function of q, it is an everywhere-discontinuous self-similar fractal. We provide efficient protocols that achieve the lower bound to within any desired accuracy for

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Kozen, D. (2014). Optimal coin flipping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8464 LNCS, pp. 407–426). Springer Verlag. https://doi.org/10.1007/978-3-319-06880-0_21

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