OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing

Hezi Zhang, Jixuan Ruan,Hassan Shapourian,Ramana Rao Kompella,Yufei Ding

International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)（2024）CCF A

University of California San Diego | Cisco Systems

Cited 0|Views53

Abstract

The photonic platform holds great promise for quantum computing.Nevertheless, the intrinsic probabilistic characteristics of its native fusionoperations introduces substantial randomness into the computing process, posingsignificant challenges to achieving scalability and efficiency in programexecution. In this paper, we introduce a randomness-aware compilation frameworkdesigned to concurrently achieve scalability and efficiency. Our approachleverages an innovative combination of offline and online optimization passes,with a novel intermediate representation serving as a crucial bridge betweenthem. Through a comprehensive evaluation, we demonstrate that this frameworksignificantly outperforms the most efficient baseline compiler in a scalablemanner, opening up new possibilities for realizing scalable photonic quantumcomputing.

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Key words

Photonic Reservoir Computing,Fault-tolerant Quantum Computation,Quantum Computation,Neuromorphic Photonics,Quantum Simulation

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