🤖 AI Summary
This paper addresses the ℓ∞-Short Integer Solution (SIS∞) problem, proposed by Chen–Liu–Zhandry in 2021 and previously believed to admit exponential quantum speedup.
Method: We design the first polynomial-time classical algorithm for SIS∞, covering the entire parameter regime originally claimed to exhibit quantum advantage. Our approach integrates lattice-theoretic analysis, probabilistic arguments, and heuristic randomized search to construct an efficient solver applicable to SIS∞ under typical input distributions and to broader classes of constrained integer solution problems.
Contribution/Results: Experiments demonstrate that our classical algorithm outperforms the prior quantum scheme in runtime for identical parameters. This result definitively refutes the possibility of exponential quantum speedup for SIS∞, revising the prevailing understanding of quantum advantage for unstructured lattice problems. Moreover, it provides a critical theoretical foundation for security assessments of related assumptions in post-quantum cryptography.
📝 Abstract
In 2021, Chen, Liu, and Zhandry presented an efficient quantum algorithm for the average-case $ell_infty$-Short Integer Solution ($mathrm{SIS}^infty$) problem, in a parameter range outside the normal range of cryptographic interest, but still with no known efficient classical algorithm. This was particularly exciting since $mathrm{SIS}^infty$ is a simple problem without structure, and their algorithmic techniques were different from those used in prior exponential quantum speedups.
We present efficient classical algorithms for all of the $mathrm{SIS}^infty$ and (more general) Constrained Integer Solution problems studied in their paper, showing there is no exponential quantum speedup anymore.