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    Quantum error correction in adversarial regimes

    Rahul Arvind1,2,*,†, Nikhil Bansal2,3,*,‡, Dax Enshan Koh2,4,5,§, Tobias Haug6,∥, and Kishor Bharti2,4,7,¶

    • *These authors contributed equally to this work.
    • †Contact author: rahul_arvind@utexas.edu
    • ‡Contact author: nikhilbansaliiser@gmail.com
    • §Contact author: dax_koh@a-star.edu.sg
    • ∥Contact author: tobias.haug@u.nus.edu
    • Contact author: kishor.bharti1@gmail.com

    Phys. Rev. A 114, 042433 – Published 16 October, 2026

    DOI: https://doi.org/10.1103/xry5-66qx

    Abstract

    In adversarial settings, where attackers can deliberately and strategically corrupt quantum data, standard quantum error correction reaches its limits. It can only correct up to half the code distance and must output a unique answer. Quantum list decoding offers a promising alternative. By allowing the decoder to output a short list of possible errors, it becomes possible to tolerate far more errors, even under worst-case noise. However, two fundamental questions remain: Which quantum codes support list decoding and can we design decoding schemes that are secure against efficient, computationally bounded adversaries? In this work, we answer both. To identify which codes are list decodable, we provide a generalized version of the Knill-Laflamme conditions. Then, using tools from quantum cryptography, we build an unambiguous list-decoding protocol based on pseudorandom unitaries. Our scheme is secure against any quantum polynomial-time adversary, even across multiple decoding attempts, in contrast to previous schemes. Our approach connects coding theory with complexity-based quantum cryptography, paving the way for secure quantum information processing in adversarial settings.

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