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oai:docta.ucm.es:20.500.14352/1202192025-06-03T23:47:34Zcom_20.500.14352_14col_20.500.14352_15

Kurniawan, Handy Savin, Valentin G. Almudéver, Carmen García Herrero, Francisco Miguel 2025-05-19T15:05:45Z 2025-05-19T15:05:45Z 2025-05-16 Kurniawan H, Savin V, Almudéver CG, Herrero FG. Implementing Quantum Polar Codes in a Superconducting Processor: From State Preparation to Decoding. IEEE Softw 2025; : 1–8. [DOI: 10.1109/MS.2025.3569447] 10.1109/MS.2025.3569447 https://hdl.handle.net/20.500.14352/120219 https://ieeexplore.ieee.org/document/11006011 Quantum polar codes are a class of capacity-achieving quantum codes, with fast and efficient error syndrome decoding for Pauli channels, emerging as a promising approach to fault-tolerant quantum computation. However, their implementation on superconducting quantum hardware with connectivity constraints is hindered by the need for long-range qubit interactions, which increases CNOT gate usage and reduces fidelity. A full-stack software framework for implementing quantum polar codes is presented, integrating a noise-aware compilation approach that optimizes resource usage by combining quantum and classical software. Experimental results demonstrate significant improvements in logical state preparation rates, with resource savings from 10% to 81% for both quantum and classical computations. eng http://creativecommons.org/licenses/by/4.0/ open access Attribution 4.0 International Implementing Quantum Polar Codes in a Superconducting Processor: From State Preparation to Decoding journal article