
The recent advancement in quantum technology has initiated a new round of cryptosystem innovation, i.e., the emergence of Post-Quantum Cryptography (PQC). This new class of cryptographic schemes is intended to be mathematically resistant against any known attacks using quantum computers, but, at the same time, be fully implementable using traditional semiconductor technology. The National Institutes of Standards and Technology (NIST) has already started the PQC standardization process, and the initial pool of 69 submissions has been reduced to 26 Round 2 candidates. Echoing the pace of the PQC "revolution," this paper gives a detailed and thorough introduction to recent advances in the hardware implementation of PQC schemes, including challenges, new implementation methods, and novel hardware architectures. Specifically, we have: (i) described the challenges and rewards of implementing PQC in hardware; (ii) presented the novel methodology for the design-space exploration of PQC implementations using high-level synthesis (HLS); (iii) introduced a new underexplored PQC scheme (binary Ring-Learning-with-Errors), as well as its novel hardware implementation for possible lightweight applications. The overall content delivered by this paper could serve multiple purposes: (i) provide useful references for the potential learners and the interested public; (ii) introduce new areas and directions for potential research to the VTS community; (iii) facilitate the PQC standardization process and the exploration of related new ways of implementing cryptography in existing and emerging applications.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
