2024/03/04 by Hezi Zhang, Zhang, Hezi, Jixuan Ruan +7 · 1 citation
Computer Science · Engineering · Mathematics · #Compiler #Computer science #FOS: Physical sciences #Mathematics #Neural Networks and Reservoir Computing #Optical Network Technologies #Optoelectronics #Photonics #Physics #Programming language #Quantum #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum mechanics #Randomness
paper · pdf · doi:10.48550/arxiv.2403.01829
openalex publication_date 2024/03/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The photonic platform holds great promise for quantum computing. Nevertheless, the intrinsic probabilistic characteristics of its native fusion operations introduces substantial randomness into the computing process, posing significant challenges to achieving scalability and efficiency in program execution. In this paper, we introduce a randomness-aware compilation framework designed to concurrently achieve scalability and efficiency. Our approach leverages an innovative combination of offline and online optimization passes, with a novel intermediate representation serving as a crucial bridge between them. Through a comprehensive evaluation, we demonstrate that this framework significantly outperforms the most efficient baseline compiler in a scalable manner, opening up new possibilities for realizing scalable photonic quantum computing.