{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IXTZGSSBW6IMUGR5RHKS554HEW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b1fe3ce52c5f6f2e3dfc6c4f8ee1bef582c5a531503cf4817f07a1fa2cb10a7c","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-12-04T11:49:09Z","title_canon_sha256":"660b546c4ef2931be5bffef9f5b230eeb1a90b39564bb5c5bebf730b2ca71ed3"},"schema_version":"1.0","source":{"id":"2412.03249","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03249","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03249v1","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03249","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_12","alias_value":"IXTZGSSBW6IM","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_16","alias_value":"IXTZGSSBW6IMUGR5","created_at":"2026-07-05T11:32:21Z"},{"alias_kind":"pith_short_8","alias_value":"IXTZGSSB","created_at":"2026-07-05T11:32:21Z"}],"graph_snapshots":[{"event_id":"sha256:740341e589359da7b39e50f8c2fbe8af8690734ada98b00d192a46766d6247e1","target":"graph","created_at":"2026-07-05T11:32:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.03249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum circuit mapping is a critical process in quantum computing that involves adapting logical quantum circuits to adhere to hardware constraints, thereby generating physically executable quantum circuits. Current quantum circuit mapping techniques, such as solver-based methods, often encounter challenges related to slow solving speeds due to factors like redundant search iterations. Regarding this issue, we propose a machine learning approach for accelerating optimal qubit mapping (MLQM). First, the method proposes a global search space pruning scheme based on prior knowledge and machine l","authors_text":"Geng Chen, Guowu Yang, Lianhui Yu, Wenjie Sun, Xiaoyu Li, Zhigang Wang","cross_cats":["cs.ET"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-12-04T11:49:09Z","title":"MLQM: Machine Learning Approach for Accelerating Optimal Qubit Mapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03249","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f4b614753c52447ec722c1f06aa16a6c79cb4d52aead234e002d7fd526db903d","target":"record","created_at":"2026-07-05T11:32:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b1fe3ce52c5f6f2e3dfc6c4f8ee1bef582c5a531503cf4817f07a1fa2cb10a7c","cross_cats_sorted":["cs.ET"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-12-04T11:49:09Z","title_canon_sha256":"660b546c4ef2931be5bffef9f5b230eeb1a90b39564bb5c5bebf730b2ca71ed3"},"schema_version":"1.0","source":{"id":"2412.03249","kind":"arxiv","version":1}},"canonical_sha256":"45e7934a41b790ca1a3d89d52ef78725b3b3ae4f9cee78abf98c46131894e5d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45e7934a41b790ca1a3d89d52ef78725b3b3ae4f9cee78abf98c46131894e5d9","first_computed_at":"2026-07-05T11:32:21.418771Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:21.418771Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6ivjTMfgb8FDcaSNFlxIWuJVm9eONdPaLQxICf43sTwmztwbi7jZuLMCykIr663+IIevUuh95upcv6oUokREAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:21.419437Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.03249","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4b614753c52447ec722c1f06aa16a6c79cb4d52aead234e002d7fd526db903d","sha256:740341e589359da7b39e50f8c2fbe8af8690734ada98b00d192a46766d6247e1"],"state_sha256":"16907f53a747b1bcf02967934793f9da2bccc2042b0b2cb35ca4f228447ab636"}