A 334uW 0.158mm2 Saber Learning with Rounding based Post-Quantum Crypto Accelerator
Archisman Ghosh, Jose Maria Bermudo Mera, Angshuman Karmakar, Debayan Das, Santosh Ghosh, Ingrid M.R. Verbauwhede, Shreyas Sen · 2022 IEEE Custom Integrated Circuits Conference (CICC) · 2022
The arrival of large-scale quantum computers will break the security assurances of our current public-key cryptography. National Institute of Standard & Technology (NIST) is currently running a multi-year-long standardization procedure to select quantum-safe or postquantum cryptographic schemes to be used in the future. Energy efficiency is an important criterion in the selection process. This paper presents the first Silicon verified ASIC implementation for Saber (LWR algorithm as proposed in [1], [2]), a NIST PQC Round 3 finalist candidate in the key-encapsulation mechanism (KEM) category. Fig. 1 briefly describes the learning with rounding (LWR) problem, which is hard to solve even in the presence of large quantum computers due to the noise generated from rounding. IC features are tabulated in Fig. 1. which also shows a simplified version of the Saber KEM scheme to establish a secret key between two communicating parties Alice and Bob. Due to learning with rounding, secret$s$is hard to guess based on publicly available data as shown in Fig. 1.