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From the 1 of 10 linked papers with an AI index.

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10 papers

quant-ph2026

Error correction on an array of superconducting qubits with defective components

Julien M. Drouet, Xanda C. Kolesnikow, Campbell K. McLauchlan +6

The paper experimentally compares methods for handling defective qubits and couplers in a superconducting qubit array, showing that excluding underperforming components significant…

quant-ph2026

Scalable quantum error correction tailored for a heavy-hex qubit array

Seok-Hyung Lee, Xanda C. Kolesnikow, Jun Zen +7

To produce an operable quantum computer that is made with imperfect hardware, we must design and test scalable quantum error correcting codes that are suited for the devices we can…

quant-ph2026

Low-valency scalable quantum error correction with a dynamic compass code

Jun Zen, Xanda C. Kolesnikow, Campbell K. McLauchlan +6

The ongoing development of hardware that is capable of reliably executing general quantum algorithms requires quantum error-correcting codes that are both practical for realisation…

quant-ph2026

Characterizing physical and logical errors in a transversal CNOT via cycle error reconstruction

Nicholas Fazio, Robert Freund, Debankan Sannamoth +7

The development of prototype quantum information processors has progressed to a stage where small instances of logical qubit systems perform better than the best of their physical…

quant-ph2026

Efficient Post-Selection for General Quantum LDPC Codes

Seok-Hyung Lee, Lucas H. English, Stephen D. Bartlett

Post-selection strategies that discard low-confidence computational results can significantly improve the effective fidelity of quantum error correction at the cost of reduced acce…

quant-ph2025

Enhancing Decoding Performance using Efficient Error Learning

Pavithran Iyer, Aditya Jain, Stephen D. Bartlett +1

Lowering the resource overhead needed to achieve fault-tolerant quantum computation is crucial to building scalable quantum computers. We show that adapting conventional maximum li…