{"ID":6267168,"CreatedAt":"2026-07-10T01:11:38.759438437Z","UpdatedAt":"2026-07-13T01:02:08.706470581Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.08386","arxiv_id":"2607.08386","title":"Parallel QEC Decoding Applied to Distributed Quantum Computing","abstract":"A novel parallel approach is proposed for QEC decoding based on Belief Propagation with Ordered Statistics Decoding. The main idea is to pre-process the error vectors obtained from Belief Propagation by applying Singular Value Decomposition locally to sub-regions of the lattice. The proposed approach is applied to distributed quantum computers and evaluated in terms of complexity, accuracy, and scalability.","short_abstract":"A novel parallel approach is proposed for QEC decoding based on Belief Propagation with Ordered Statistics Decoding. The main idea is to pre-process the error vectors obtained from Belief Propagation by applying Singular Value Decomposition locally to sub-regions of the lattice. The proposed approach is applied to dist...","url_abs":"https://arxiv.org/abs/2607.08386","url_pdf":"https://arxiv.org/pdf/2607.08386v1","authors":"[\"Gabriele Incardona\",\"Davide Ferrari\",\"Michele Amoretti\"]","published":"2026-07-09T12:05:00Z","proceeding":"quant-ph","tasks":"[\"quant-ph\",\"cs.DC\",\"cs.PF\"]","methods":"[]","has_code":false}