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This research introduces a computational framework using SAT solvers to design quantum error correction codes that are both physics-inspired and hardware-aware, addressing the current reliance on manual code construction. By proving code design is NP-complete yet demonstrating practical solutions for up to 100 physical qubits, the study offers a scalable approach to lowering logical error rates in biased noise environments. This advancement directly impacts the feasibility of fault-tolerant quantum computing by automating critical code optimization constrained by real-world hardware limitations.
Source coveringarXiv
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Satisfying Quantum Codes: Physics-Informed and Hardware-Aware Code Design with SAT Solvers

arXiv2 min read

arXiv:2608.23460v1 Announce Type: new Abstract: Although quantum error correction is widely believed to be necessary for impactful applications of quantum computers, the design of quantum error correction codes is largely done by hand, without respect to problem or hardware constraints. In this work, we present a highly general and flexible framework for the computational design of both physics-inspired and hardware-aware quantum codes. To do so, we formulate code design as a Boolean satisfiability (SAT) problem and show how to incorporate all required error correction criteria. We prove that code design is NP-complete, ruling out any efficient algorithm for designing codes in general. Nonetheless, we show that state-of-the-art SAT solvers are able to effectively find solutions for many practical problems. Notably, we are able to design physics-inspired codes with up to 100 physical qubits in minutes, and we design new hardware-aware codes for biased noise which have a lower logical error rate than state-of-the-art surface codes.

Abstract:Although quantum error correction is widely believed to be necessary for impactful applications of quantum computers, the design of quantum error correction codes is largely done by hand, without respect to problem or hardware constraints. In this work, we present a highly general and flexible framework for the computational design of both physics-inspired and hardware-aware quantum codes. To do so, we formulate code design as a Boolean satisfiability (SAT) problem and show how to incorporate all required error correction criteria. We prove that code design is NP-complete, ruling out any efficient algorithm for designing codes in general. Nonetheless, we show that state-of-the-art SAT solvers are able to effectively find solutions for many practical problems. Notably, we are able to design physics-inspired codes with up to 100 physical qubits in minutes, and we design new hardware-aware codes for biased noise which have a lower logical error rate than state-of-the-art surface codes.

arXiv:2608.23460 [quant-ph]

(or arXiv:2608.23460v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.23460 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 241 words

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