ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Integrated Analysis of Performance and Resources in Large-Scale Quantum Computing
Cited 8 time in scopus Download 28 time Share share facebook twitter linkedin kakaostory
저자
황용수, 김태완, 백충헌, 최병수
발행일
202005
출처
Physical Review Applied, v.13 no.5, pp.1-27
ISSN
2331-7019
출판사
American Physical Society (APS)
DOI
https://dx.doi.org/10.1103/PhysRevApplied.13.054033
협약과제
18ZH1400, 양자컴퓨팅 플랫폼 및 비용효율성 향상에 대한 연구개발, 최병수
초록
To ascertain the feasibility of large-scale quantum computing, the performance and quantum resource of a practical quantum-computing situation needs to be analyzed. However, most of the analyses reported so far have focused on the statistical examination that simply calculates the performance and resource based on individual quantum-computing components. In this work, we propose an integrated analysis methodology that models a large-scale fault-tolerant quantum-computing system based on three components: Algorithm, error correction, and device. Furthermore, to implement the proposed methodology, we develop a quantum-computing software platform composed of three functional layers: Compile, system, and building block. By using our platform, we observe that it takes 8.78×105h, which is much longer than previous estimations, for factoring a 512-bit integer with Shor's factoring algorithm. We also discuss whether the proposed platform can play a significant role in finding an optimal concatenation level and/or code distance of quantum error-correcting code.
KSP 제안 키워드
Building block, Code distance, Error Correction, Error correcting code(ECC), Factoring algorithm, Fault-tolerant, Integrated Analysis, OR Code, Quantum computing, Quantum error-correcting code, Three components