{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GAIXAFZJYJ3ECOZ2EBLJVMV75Y","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":"a2c302dc0d4a3d6e68f9ad65a06ba7c000fc662639000e8a86da8e4284f751ed","cross_cats_sorted":["eess.IV","quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T10:21:57Z","title_canon_sha256":"2359180893131a4aa664290e73e049a03f94fd6b95ffaeca941bd9e11926116c"},"schema_version":"1.0","source":{"id":"2405.14405","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14405","created_at":"2026-07-05T10:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14405v1","created_at":"2026-07-05T10:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14405","created_at":"2026-07-05T10:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"GAIXAFZJYJ3E","created_at":"2026-07-05T10:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"GAIXAFZJYJ3ECOZ2","created_at":"2026-07-05T10:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"GAIXAFZJ","created_at":"2026-07-05T10:06:04Z"}],"graph_snapshots":[{"event_id":"sha256:bc897ad383ff6737d85ebaf0fd3f563da12276172b9d0b2cf2b86d76a30f6e88","target":"graph","created_at":"2026-07-05T10:06:04Z","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/2405.14405/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum computing is expected to transform a range of computational tasks beyond the reach of classical algorithms. In this work, we examine the application of variational quantum algorithms (VQAs) for unsupervised image segmentation to partition images into separate semantic regions. Specifically, we formulate the task as a graph cut optimization problem and employ two established qubit-efficient VQAs, which we refer to as Parametric Gate Encoding (PGE) and Ancilla Basis Encoding (ABE), to find the optimal segmentation mask. In addition, we propose Adaptive Cost Encoding (ACE), a new approach","authors_text":"Andreas Dengel, Antonio Macaluso, Marlon Nuske, Matthias Klusch, Supreeth Mysore Venkatesh","cross_cats":["eess.IV","quant-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T10:21:57Z","title":"Qubit-efficient Variational Quantum Algorithms for Image Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14405","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":"sha256:0045bbd66e19b045079144db9aa054873bdde5bec0129098c25fde77483479e2","target":"record","created_at":"2026-07-05T10:06:04Z","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":"a2c302dc0d4a3d6e68f9ad65a06ba7c000fc662639000e8a86da8e4284f751ed","cross_cats_sorted":["eess.IV","quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T10:21:57Z","title_canon_sha256":"2359180893131a4aa664290e73e049a03f94fd6b95ffaeca941bd9e11926116c"},"schema_version":"1.0","source":{"id":"2405.14405","kind":"arxiv","version":1}},"canonical_sha256":"3011701729c276413b3a20569ab2bfee1cd9ce672fc775d32906486b86ec51fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3011701729c276413b3a20569ab2bfee1cd9ce672fc775d32906486b86ec51fd","first_computed_at":"2026-07-05T10:06:04.029472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:06:04.029472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QN1B3W2tCS6x3TbX3fpgWWxq4ULYTR9v27IdVaBXe0uywnVxv2XYQZj8wwxsQExe14cezVzl9yK3JAbmtkePCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:06:04.029945Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14405","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0045bbd66e19b045079144db9aa054873bdde5bec0129098c25fde77483479e2","sha256:bc897ad383ff6737d85ebaf0fd3f563da12276172b9d0b2cf2b86d76a30f6e88"],"state_sha256":"9aafbb37efbcceca6344c4cfb5e4cf43e6c19de2517617f0df828b9c5dac9225"}