Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays

Fuente: arXiv
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Main Authors: Zhou, Hengyun, Duckering, Casey, Zhao, Chen, Bluvstein, Dolev, Cain, Madelyn, Kubica, Aleksander, Wang, Sheng-Tao, Lukin, Mikhail D.
Format: Preprint
Published: 2025
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author Zhou, Hengyun
Duckering, Casey
Zhao, Chen
Bluvstein, Dolev
Cain, Madelyn
Kubica, Aleksander
Wang, Sheng-Tao
Lukin, Mikhail D.
author_facet Zhou, Hengyun
Duckering, Casey
Zhao, Chen
Bluvstein, Dolev
Cain, Madelyn
Kubica, Aleksander
Wang, Sheng-Tao
Lukin, Mikhail D.
contents Neutral atom arrays have recently emerged as a promising platform for fault-tolerant quantum computing. Based on these advances, including dynamically-reconfigurable connectivity and fast transversal operations, we present a low-overhead architecture that supports the layout and resource estimation of large-scale fault-tolerant quantum algorithms. Utilizing recent advances in fault tolerance with transversal gate operations, this architecture achieves a run time speed-up on the order of the code distance $d$, which we find directly translates to run time improvements of large-scale quantum algorithms. Our architecture consists of functional building blocks of key algorithmic subroutines, including magic state factories, quantum arithmetic units, and quantum look-up tables. These building blocks are implemented using efficient transversal operations, and we design space-time efficient versions of them that minimize interaction distance, thereby reducing atom move times and minimizing the volume for correlated decoding. We further propose models to estimate their logical error performance. We perform resource estimation for a large-scale implementation of Shor's factoring algorithm, one of the prototypical benchmarks for large-scale quantum algorithms, finding that 2048-bit RSA factoring can be executed with 19 million qubits in 5.6 days, for 1 ms QEC cycle times. This represents close to 50$\times$ speed-up of the run-time compared to existing estimates with similar assumptions, with no increase in space footprint.
format Preprint
id arxiv_https___arxiv_org_abs_2505_15907
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays
Zhou, Hengyun
Duckering, Casey
Zhao, Chen
Bluvstein, Dolev
Cain, Madelyn
Kubica, Aleksander
Wang, Sheng-Tao
Lukin, Mikhail D.
Quantum Physics
Neutral atom arrays have recently emerged as a promising platform for fault-tolerant quantum computing. Based on these advances, including dynamically-reconfigurable connectivity and fast transversal operations, we present a low-overhead architecture that supports the layout and resource estimation of large-scale fault-tolerant quantum algorithms. Utilizing recent advances in fault tolerance with transversal gate operations, this architecture achieves a run time speed-up on the order of the code distance $d$, which we find directly translates to run time improvements of large-scale quantum algorithms. Our architecture consists of functional building blocks of key algorithmic subroutines, including magic state factories, quantum arithmetic units, and quantum look-up tables. These building blocks are implemented using efficient transversal operations, and we design space-time efficient versions of them that minimize interaction distance, thereby reducing atom move times and minimizing the volume for correlated decoding. We further propose models to estimate their logical error performance. We perform resource estimation for a large-scale implementation of Shor's factoring algorithm, one of the prototypical benchmarks for large-scale quantum algorithms, finding that 2048-bit RSA factoring can be executed with 19 million qubits in 5.6 days, for 1 ms QEC cycle times. This represents close to 50$\times$ speed-up of the run-time compared to existing estimates with similar assumptions, with no increase in space footprint.
title Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays
topic Quantum Physics
url https://arxiv.org/abs/2505.15907