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Quantum machine learning probes post-quantum cryptography resilience

By PulseAugur Editorial · [3 sources] ·

Researchers have explored the use of Quantum Generative Adversarial Networks (QGANs) to assess the resilience of post-quantum cryptography. The study demonstrates how QGANs can load the probability distribution of hash-based digital signatures into a quantum computer's memory. This approach, utilizing near-term hybrid quantum-classical methods, is presented as a foundational step for employing quantum computing to probe vulnerabilities in post-quantum cryptographic primitives. AI

IMPACT This research could lead to new methods for evaluating the security of future cryptographic systems against quantum attacks.

RANK_REASON The cluster contains an academic paper detailing a novel research approach.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Quantum machine learning probes post-quantum cryptography resilience

COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Jaros{\l}aw A. Miszczak ·

    Towards quantum machine learning for assessing the resilience of post-quantum cryptography

    arXiv:2607.13722v1 Announce Type: cross Abstract: The potential capabilities of quantum computers motivated the development of cryptographic protocols suitable for securing communication against adversaries with access to large fault-tolerant quantum computers. However, even thou…

  2. arXiv cs.LG TIER_1 English(EN) · Jarosław A. Miszczak ·

    Towards quantum machine learning for assessing the resilience of post-quantum cryptography

    The potential capabilities of quantum computers motivated the development of cryptographic protocols suitable for securing communication against adversaries with access to large fault-tolerant quantum computers. However, even though current quantum computers are limited in terms …

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Quantum ML preprint targets post-quantum cryptography resilience Quantum ML preprint loads hash-based signatures into quantum memory via generative networks, a

    Quantum ML preprint targets post-quantum cryptography resilience Quantum ML preprint loads hash-based signatures into quantum memory via generative networks, a first step toward testing post-quantum crypto. https://www. notatechguy.com/quantum-ml-pre print-targets-post-quantum-cr…

    LINKS notatechguy.com/quantum-ml-preprint-targe…

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