High-Throughput Post-Quantum Cryptographic System: CRYSTALS-Kyber with Computational Scheduling and Architecture Optimization

With the development of a quantum computer in the near future, classical public-key cryptography will face the challenge of being vulnerable to quantum algorithms, such as Shor’s algorithm. As communication technology advances rapidly, a great deal of personal information is being transmitted over the Internet. Based on our observation that the Kyber algorithm exhibits a significant number of idle cycles during execution when implemented following the conventional software procedure, this paper proposes a high-throughput scheduling for Kyber by parallelizing the SHA-3 function, the sampling algorithm, and the NTT computations to improve hardware utilization and reduce latency. We also introduce the 8-stage pipelined SHA-3 architecture and multi-mode polynomial arithmetic module to increase area efficiency. By also optimizing the hardware architecture of the various computational modules used by Kyber, according to the implementation result, an aggregate throughput of 877.192 kOPS in Kyber KEM can be achieved on TSMC 40 nm. In addition, our design not only achieves the highest throughput among existing studies but also improves the area and power efficiencies.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2025-07-24
DOI
https://doi.org/10.3390/electronics14152969
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Throughput Post-Quantum Cryptographic System: CRYSTALS-Kyber with Computational Scheduling and Architecture Optimization

C.P. Tsao, Shih-Hsun Chou, C. H. Chen, Wen‐Long Chin et al.
1 citations
Electronics
Quantum Computing Algorithms and Architecture
2.48
article

High-Throughput Post-Quantum Cryptographic System: CRYSTALS-Kyber with Computational Scheduling and Architecture Optimization

C.P. Tsao, Shih-Hsun Chou, C. H. Chen, Wen‐Long Chin, Yu-Hua Yang, Pin-Luen Tung
article en
1 citations

Abstract

With the development of a quantum computer in the near future, classical public-key cryptography will face the challenge of being vulnerable to quantum algorithms, such as Shor’s algorithm. As communication technology advances rapidly, a great deal of personal information is being transmitted over the Internet. Based on our observation that the Kyber algorithm exhibits a significant number of idle cycles during execution when implemented following the conventional software procedure, this paper proposes a high-throughput scheduling for Kyber by parallelizing the SHA-3 function, the sampling algorithm, and the NTT computations to improve hardware utilization and reduce latency. We also introduce the 8-stage pipelined SHA-3 architecture and multi-mode polynomial arithmetic module to increase area efficiency. By also optimizing the hardware architecture of the various computational modules used by Kyber, according to the implementation result, an aggregate throughput of 877.192 kOPS in Kyber KEM can be achieved on TSMC 40 nm. In addition, our design not only achieves the highest throughput among existing studies but also improves the area and power efficiencies.

ElectronicsVol. 14(15)
National Cheng Kung University (TW)
National Science and Technology Council
Openalex Percentile: Top 9%
Quantum Computing Algorithms and Architecture
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

High-Throughput Post-Quantum Cryptographic System: CRYSTALS-Kyber with Computational Scheduling and Architecture Optimization — C.P. Tsao, Shih-Hsun Chou, et al. · Electronics (2025) | TGRS Research Map | TGRS