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zkQMC: Zero-Knowledge Proofs For (Some) Probabilistic Computations Using Quasi-Randomness

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By Michael Dixon, Zachary DeStefano, Dani Barrack
| eprint.iacr.org
Paper 2022/1007 zkQMC: Zero-Knowledge Proofs For (Some) Probabilistic Computations Using Quasi-Randomness , Los Alamos National Laboratory , Los Alamos National Laboratory , Los Alamos National Laboratory Abstract We initiate research into efficiently embedding probabilistic computations in probabilistic proofs by introducing techniques for capturing Monte Carlo methods and Las Vegas algorithms in zero knowledge and exploring several potential applications of these techniques.
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