Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo

Quantum computing has the potential to accelerate various domains: scientific computation, machine learning, and optimization. Recently, Rydberg atom quantum computing has emerged as a promising quantum computing technology, especially with the demonstration of the zonal addressing architecture. However, this demonstration is only compatible with one type of quantum algorithm, and extending it to compile and execute general quantum algorithms is a challenge. To address it, we propose PachinQo, a framework to co-design the architecture and compilation for zonal addressing systems for any given quantum algorithm. PachinQo's evaluation demonstrates its ability to improve a quantum algorithm's estimated probability of success by 45% on average in error-prone quantum environments.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-06-16
DOI
https://doi.org/10.1145/3744970.3727295
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo

Tirthak Patel, Nicholas S. DiBrita, Yuqian Huo, Jason Ludmir
ACM SIGMETRICS Performance Evaluation Review
Quantum Computing Algorithms and Architecture
article

Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo

Tirthak Patel, Nicholas S. DiBrita, Yuqian Huo, Jason Ludmir
article en

Abstract

Quantum computing has the potential to accelerate various domains: scientific computation, machine learning, and optimization. Recently, Rydberg atom quantum computing has emerged as a promising quantum computing technology, especially with the demonstration of the zonal addressing architecture. However, this demonstration is only compatible with one type of quantum algorithm, and extending it to compile and execute general quantum algorithms is a challenge. To address it, we propose PachinQo, a framework to co-design the architecture and compilation for zonal addressing systems for any given quantum algorithm. PachinQo's evaluation demonstrates its ability to improve a quantum algorithm's estimated probability of success by 45% on average in error-prone quantum environments.

ACM SIGMETRICS Performance Evaluation ReviewVol. 53(1)
Rice University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 93%
Quantum Computing Algorithms and Architecture
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