Predictive Window Decoding for Fault-Tolerant Quantum Programs

Fuente: arXiv
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Autori principali: Viszlai, Joshua, Chadwick, Jason D., Joshi, Sarang, Ravi, Gokul Subramanian, Li, Yanjing, Chong, Frederic T.
Natura: Preprint
Pubblicazione: 2024
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author Viszlai, Joshua
Chadwick, Jason D.
Joshi, Sarang
Ravi, Gokul Subramanian
Li, Yanjing
Chong, Frederic T.
author_facet Viszlai, Joshua
Chadwick, Jason D.
Joshi, Sarang
Ravi, Gokul Subramanian
Li, Yanjing
Chong, Frederic T.
contents Real-time decoding is a key ingredient in future fault-tolerant quantum systems, yet many decoders are too slow to run in real time. Prior work has shown that parallel window decoding schemes can scalably meet throughput requirements in the presence of increasing decoding times, given enough classical resources. However, windowed decoding schemes require that some decoding tasks be delayed until others have completed, which can be problematic during time-sensitive operations such as T gate teleportation, leading to suboptimal program runtimes. To alleviate this, we introduce a speculative window decoding scheme. Taking inspiration from branch prediction in classical computer architecture our decoder utilizes a light-weight speculation step to predict data dependencies between adjacent decoding windows, allowing multiple layers of decoding tasks to be resolved simultaneously. Through a state-of-the-art compilation pipeline and a detailed simulator, we find that speculation reduces application runtimes by 40% on average compared to prior parallel window decoders.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05115
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Predictive Window Decoding for Fault-Tolerant Quantum Programs
Viszlai, Joshua
Chadwick, Jason D.
Joshi, Sarang
Ravi, Gokul Subramanian
Li, Yanjing
Chong, Frederic T.
Quantum Physics
Real-time decoding is a key ingredient in future fault-tolerant quantum systems, yet many decoders are too slow to run in real time. Prior work has shown that parallel window decoding schemes can scalably meet throughput requirements in the presence of increasing decoding times, given enough classical resources. However, windowed decoding schemes require that some decoding tasks be delayed until others have completed, which can be problematic during time-sensitive operations such as T gate teleportation, leading to suboptimal program runtimes. To alleviate this, we introduce a speculative window decoding scheme. Taking inspiration from branch prediction in classical computer architecture our decoder utilizes a light-weight speculation step to predict data dependencies between adjacent decoding windows, allowing multiple layers of decoding tasks to be resolved simultaneously. Through a state-of-the-art compilation pipeline and a detailed simulator, we find that speculation reduces application runtimes by 40% on average compared to prior parallel window decoders.
title Predictive Window Decoding for Fault-Tolerant Quantum Programs
topic Quantum Physics
url https://arxiv.org/abs/2412.05115