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Lecture notes in computer science

Computing Boolean Functions via Quantum Hashing

Farid Mansurovich Ablayev, Alexander Vasiliev

Published Jan 1, 2014• 15 citations
Publisher
DOI
10.1007/978-3-319-13350-8_11

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As the building block in symmetric cryptography, designing Boolean functions satisfying multiple properties is an important problem in sequence ciphers, block ciphers, and hash functions. However, the search of nnn-variable Boolean functions fulfilling global cryptographic constraints is computationally hard due to the super-exponential size O(22n)\mathcal{O}(2^{2^n})O(22n) of the space. Here, we introduce a codification of the cryptographically relevant constraints in the ground state of an Ising Hamiltonian, allowing us to naturally encode it in a quantum annealer, which seems to provide a quantum speedup. Additionally, we benchmark small nnn cases in a D-Wave machine, showing its capacity of devising bent functions, the most relevant set of cryptographic Boolean functions. We have complemented it with local search and chain repair to improve the D-Wave quantum annealer performance related to the low connectivity. This work shows how to codify super-exponential cryptographic problems into quantum annealers and paves the way for reaching quantum supremacy with an adequately designed chip.