Minimum Depth Quantum Modular Addition Through Carry-Save Architecture

Shor's factorization algorithm, as one of the most significant achievements in quantum computing, exhibits an exponential speedup compared to the corresponding classical algorithm. In Shor's factorization algorithm, modular exponentiation is one of the most computationally intensive components, which relies on the modular addition building block. This work aims to explore novel designs for enhancing the efficiency of quantum modular addition. In particular, we introduce a novel quantum modular addition framework based on carry-save architecture, which facilitates the conversion of multiple 2-addend quantum operations within modular addition into a single 3-addend operation, thereby reducing the computational depth. Compared to the most efficient existing quantum modular addition, our design has achieved an impressive result - a reduction in Toffoli Depth by up to 33.33%, while maintaining comparable Toffoli Count and Qubit Count. This research underscores the potential of carry-save architecture as a promising technique for accelerating quantum modular arithmetic as well as advancing the development of quantum computing in general.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/vlsi-soc62099.2024.10767796
Citations
5
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
1.74

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article

Minimum Depth Quantum Modular Addition Through Carry-Save Architecture

Xiufan Li, Jianhang Feng, Eugene A. Lim, Anupam Chattopadhyay et al.
5 citations
Quantum Computing Algorithms and Architecture
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article

Minimum Depth Quantum Modular Addition Through Carry-Save Architecture

Xiufan Li, Jianhang Feng, Eugene A. Lim, Anupam Chattopadhyay, Siyi Wang
article en
5 citations

Abstract

Shor's factorization algorithm, as one of the most significant achievements in quantum computing, exhibits an exponential speedup compared to the corresponding classical algorithm. In Shor's factorization algorithm, modular exponentiation is one of the most computationally intensive components, which relies on the modular addition building block. This work aims to explore novel designs for enhancing the efficiency of quantum modular addition. In particular, we introduce a novel quantum modular addition framework based on carry-save architecture, which facilitates the conversion of multiple 2-addend quantum operations within modular addition into a single 3-addend operation, thereby reducing the computational depth. Compared to the most efficient existing quantum modular addition, our design has achieved an impressive result - a reduction in Toffoli Depth by up to 33.33%, while maintaining comparable Toffoli Count and Qubit Count. This research underscores the potential of carry-save architecture as a promising technique for accelerating quantum modular arithmetic as well as advancing the development of quantum computing in general.

National University of Singapore (SG), Nanyang Technological University (SG)
National Science Foundation, United Arab Emirates
Affordable and clean energy
Openalex Percentile: Top 12%
Quantum Computing Algorithms and Architecture
1.74
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