NIST Develops 9 Signatures to Third Round of PQC Evaluation

Nine candidate algorithms, FAEST, HAWK, MAYO, MQOM, QR-UOV, SDitH, SNOVA, SQIsign, and UOV, have advanced to the third round of evaluation in the National Institute of Standards and Technology’s (NIST) process to establish post-quantum cryptography standards, signaling progress toward securing digital communications against future threats from quantum computing. The agency, led by researchers including May Gorjan Alagic, Maxime Bros, and Pierre Ciadoux, is carefully assessing these options to identify public-key digital signature algorithms for potential standardization and long-term protection of sensitive information. Rather than a complete overhaul of current systems, any selected scheme will build upon existing standards like FIPS 204 and FIPS 205, utilizing established infrastructure. This layered approach demonstrates NIST’s dedication to proactively addressing the challenges posed by increasingly powerful computing technologies.

NIST PQC Standardization: Second Round Evaluation Criteria

This selection follows extensive internal reviews and consideration of public feedback regarding the second-round candidates, demonstrating a rigorous approach to identifying resilient cryptographic solutions. The agency’s evaluation focuses on public-key digital signature algorithms intended to safeguard sensitive information well into the future, acknowledging the escalating risk posed by increasingly powerful computational capabilities. The detailed evaluation criteria and selection process are outlined in a recent NIST report authored by May Gorjan Alagic, Maxime Bros, Pierre Ciadoux, and 13 other researchers directly involved in the assessment. Any signature scheme ultimately chosen will build upon established frameworks like FIPS 204, Module-Lattice-Based Digital Signature Standard, and FIPS 205, Stateless Hash-Based Digital Signature Standard, offering a pragmatic path toward quantum-resistant security.

The process also considers FIPS 186-5, Digital Signature Standard (DSS), and SP, Recommendation for Stateful Hash-Based Signature Schemes, indicating a comprehensive integration plan. According to NIST documentation, “This report describes the evaluation criteria and selection process of the Second Round,” emphasizing the transparency of the standardization effort and commitment to establishing robust, future-proof cryptographic standards.

FAEST, HAWK, and Nine Other Candidate Algorithms Selected

The escalating threat of quantum computing has prompted the National Institute of Standards and Technology (NIST) to evaluate and refine potential post-quantum cryptographic standards, building upon existing frameworks like FIPS 204 and FIPS 205. This latest phase will further scrutinize the algorithms’ security, performance, and practicality for standardization. The agency’s report details the evaluation criteria and selection process, emphasizing a rigorous approach to identifying algorithms suitable for long-term deployment. This methodical selection process aims to establish a robust and resilient cryptographic infrastructure prepared for the quantum era, ensuring continued data security for years to come.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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