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White Paper: Probabilistic Computing for Cryptanalysis

Better approximations for the Closest Vector Problem

February 4, 2026

Our white paper on probabilistic computing for cryptanalysis summarises Quantum Dice's recent research applying probabilistic computing to the Closest Vector Problem (CVP), a fundamental problem in lattice-based cryptography.

We outline the significance of lattice-based cryptography for future data security in an era where organisations are transitioning to PQC, and how our research shows that probabilistic computing can accelerate lattice-based optimisation.

Read to find out how the 100-fold improvement in lattice instance efficiency marks a meaningful step forward in addressing the CVP, emphasising the relevance of probabilistic computing for cryptographic security.

Download the white paper

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