ConiQ: Enabling Concatenated Quantum Error Correction on Neutral Atom Arrays
Pengyu Liu, Mingkuan Xu, Hengyun Zhou, Hanrui Wang, Umut A. Acar, Yunong Shi

TL;DR
ConiQ is a quantum compiler that enables efficient concatenated quantum error correction on neutral atom arrays, significantly reducing overhead and compilation time through innovative addressing and gate techniques.
Contribution
The paper introduces AHA logical CNOT gates and VAIR for optimized compilation of concatenated codes on neutral atom platforms, advancing fault-tolerant quantum computing.
Findings
Achieves up to 2000x reduction in spacetime overhead
Reduces compilation time by up to 10^6x
Provides a scalable approach for fault-tolerant quantum circuits
Abstract
Recent progress on concatenated codes, especially many-hypercube codes, achieves unprecedented space efficiency. Yet two critical challenges persist in practice. First, these codes lack efficient implementations of addressable logical gates. Second, the required high degree of parallelism and long-range interactions pose significant challenges for current hardware platforms. In this paper, we propose an efficient compilation approach for concatenated codes, specifically many-hypercube codes, targeted at neutral atom arrays, which provide the necessary parallelism and long-range interactions. Our approach builds on two key innovations. First, we introduce Automorphism-assisted Hierarchical Addressing (AHA) logical CNOT gates that significantly reduce spacetime overhead compared to conventional distillation-based methods. Second, we develop Virtual Atom Intermediate Representation (VAIR)…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
