aiqbench analysis
This research introduces a unified framework for achieving constant-rate certified deletion in quantum cryptographic primitives, significantly improving efficiency over previous linear-resource constructions. By applying to various BB84-style encodings and subspace coset states, the work enables secure, everlasting deletion of encrypted data without introducing new assumptions. The inclusion of public verifiability under SIS hardness further strengthens the practicality of these schemes for privacy-preserving quantum applications.
Constant-Rate Certified Deletion
arXiv:2610.03590v1 Announce Type: cross Abstract: We present a unified framework for upgrading a broad class of cryptographic primitives to support constant-rate certified deletion. Previous constructions require a linear number of qubits per encrypted bit of certified-deletable plaintext. In contrast, we obtain the first constant-rate constructions in the plain model that achieve certified deletion while preserving everlasting security. Our approach applies to a wide range of "all-or-nothing"-type primitives based on BB84-style encodings, including commitment schemes, public-key encryption, attribute-based encryption, and fully homomorphic encryption. Beyond this class, we also obtain constant-rate certified deletion for primitives built from subspace coset states, such as blind delegation, secure software leasing, functional encryption, and differing-inputs iO, and CCA-PKE. Importantly, our framework does not introduce any additional assumptions beyond those required by the underlying certified deletion primitives. Finally, under the hardness of SIS, we show that public verifiability can be incorporated into BB84- and coset-based certified deletion. In combination with our constant-rate constructions, this yields publicly verifiable certified deletion schemes with constant rate.
Abstract:We present a unified framework for upgrading a broad class of cryptographic primitives to support constant-rate certified deletion. Previous constructions require a linear number of qubits per encrypted bit of certified-deletable plaintext. In contrast, we obtain the first constant-rate constructions in the plain model that achieve certified deletion while preserving everlasting security. Our approach applies to a wide range of "all-or-nothing"-type primitives based on BB84-style encodings, including commitment schemes, public-key encryption, attribute-based encryption, and fully homomorphic encryption. Beyond this class, we also obtain constant-rate certified deletion for primitives built from subspace coset states, such as blind delegation, secure software leasing, functional encryption, and differing-inputs iO, and CCA-PKE. Importantly, our framework does not introduce any additional assumptions beyond those required by the underlying certified deletion primitives. Finally, under the hardness of SIS, we show that public verifiability can be incorporated into BB84- and coset-based certified deletion. In combination with our constant-rate constructions, this yields publicly verifiable certified deletion schemes with constant rate.
Cryptography and Security (cs.CR); Quantum Physics (quant-ph)
arXiv:2610.03590 [cs.CR]
(or arXiv:2610.03590v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2610.03590 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 259 words
Related coverage

Lattice-Based Cryptography Explained
Quantum Zeitgeist · Aug 15, 2026

Honest Abacus AI Review: ChatLLM, DeepAgent, AI Studio & More
KDnuggets · Aug 4, 2026

Continual learning might make your blocking monitors nearly useless
AI Alignment Forum · Sep 24, 2026

Why do models task game?
AI Alignment Forum · Aug 6, 2026