Post-Quantum Cryptography from Quantum Stabilizer Decoding
Jonathan Z. Lu, Alexander Poremba, Yihui Quek, Akshar Ramkumar

TL;DR
This paper introduces quantum stabilizer decoding as a promising new post-quantum hardness assumption, providing practical cryptographic schemes and evidence of its distinctness from classical LPN problems.
Contribution
It establishes the average-case hardness of quantum stabilizer decoding as a foundation for post-quantum cryptography, with practical encryption and oblivious transfer schemes.
Findings
Quantum stabilizer decoding implies classical cryptographic primitives.
The proposed PKE is as efficient as LPN-based schemes.
Stabilizer decoding likely does not reduce to LPN, indicating a new hardness assumption.
Abstract
Post-quantum cryptography currently rests on a small number of hardness assumptions, posing significant risks should any one of them be compromised. This vulnerability motivates the search for new and cryptographically versatile assumptions that make a convincing case for quantum hardness. In this work, we argue that decoding random quantum stabilizer codes -- a quantum analog of the well-studied LPN problem -- is an excellent candidate. This task occupies a unique middle ground: it is inherently native to quantum computation, yet admits an equivalent formulation with purely classical input and output, as recently shown by Khesin et al. (STOC '26). We prove that the average-case hardness of quantum stabilizer decoding implies the core primitives of classical Cryptomania, including public-key encryption (PKE) and oblivious transfer (OT), as well as one-way functions. Our constructions…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Cryptography and Data Security · Coding theory and cryptography
