{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:YLMEI5QIPLT25U5ZYTVXMZ7BWH","short_pith_number":"pith:YLMEI5QI","schema_version":"1.0","canonical_sha256":"c2d84476087ae7aed3b9c4eb7667e1b1e3d5ec649c5139f94ea1a6ce9312624c","source":{"kind":"arxiv","id":"2503.19172","version":2},"attestation_state":"computed","paper":{"title":"Resource-state Quantum RAM for Fast and Error-Correctable Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.atom-ph"],"primary_cat":"quant-ph","authors_text":"Francesco Cesa, Hannes Bernien, Hannes Pichler","submitted_at":"2025-03-24T21:51:49Z","abstract_excerpt":"Quantum devices can process data in a fundamentally different way than classical computers. To leverage this potential, many algorithms require the aid of a quantum Random Access Memory (QRAM), i.e. a module capable of efficiently loading datasets onto the quantum processor. However, a realisation of this building block is still outstanding due to its formidable resource requirements, which become even more demanding in quantum error-correction schemes. Here we show that the challenge of implementing QRAM can be entirely reduced to a state-preparation problem: since such resource-state is inde"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2503.19172","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-03-24T21:51:49Z","cross_cats_sorted":["physics.atom-ph"],"title_canon_sha256":"5459d3a6d4a4171b6a88301c7e082c8b1ac9433c32382941718a6c8d4ca2bdbf","abstract_canon_sha256":"5b202029e055b0eee359c6642833026629263aba3954f580139ce372ed8390b6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T00:18:11.041867Z","signature_b64":"lt1Lz9xLMetZWWp9jgRCIcAvgcCztXjjj5Osb5zRC9TPK7Fp+zxS+lHySV40lRfxlibPNeNfsPQtHcrqEBheDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2d84476087ae7aed3b9c4eb7667e1b1e3d5ec649c5139f94ea1a6ce9312624c","last_reissued_at":"2026-06-25T00:18:11.041348Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T00:18:11.041348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Resource-state Quantum RAM for Fast and Error-Correctable Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.atom-ph"],"primary_cat":"quant-ph","authors_text":"Francesco Cesa, Hannes Bernien, Hannes Pichler","submitted_at":"2025-03-24T21:51:49Z","abstract_excerpt":"Quantum devices can process data in a fundamentally different way than classical computers. To leverage this potential, many algorithms require the aid of a quantum Random Access Memory (QRAM), i.e. a module capable of efficiently loading datasets onto the quantum processor. However, a realisation of this building block is still outstanding due to its formidable resource requirements, which become even more demanding in quantum error-correction schemes. Here we show that the challenge of implementing QRAM can be entirely reduced to a state-preparation problem: since such resource-state is inde"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.19172","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2503.19172/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2503.19172","created_at":"2026-06-25T00:18:11.041418+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.19172v2","created_at":"2026-06-25T00:18:11.041418+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.19172","created_at":"2026-06-25T00:18:11.041418+00:00"},{"alias_kind":"pith_short_12","alias_value":"YLMEI5QIPLT2","created_at":"2026-06-25T00:18:11.041418+00:00"},{"alias_kind":"pith_short_16","alias_value":"YLMEI5QIPLT25U5Z","created_at":"2026-06-25T00:18:11.041418+00:00"},{"alias_kind":"pith_short_8","alias_value":"YLMEI5QI","created_at":"2026-06-25T00:18:11.041418+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":4,"sample":[{"citing_arxiv_id":"2606.08453","citing_title":"A Dual Metastable-State Encoding Architecture for Quantum Processing with $^{171}\\mathrm{Yb}$ Atom Arrays","ref_index":120,"is_internal_anchor":true},{"citing_arxiv_id":"2508.02855","citing_title":"A resource-efficient quantum-walker Quantum RAM","ref_index":24,"is_internal_anchor":true},{"citing_arxiv_id":"2605.03951","citing_title":"Factoring $2048$ bit RSA integers with a half-million-qubit modular atomic processor","ref_index":92,"is_internal_anchor":true},{"citing_arxiv_id":"2604.25644","citing_title":"Efficient Complex-Valued State Preparation on Bucket Brigade QRAM","ref_index":44,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH","json":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH.json","graph_json":"https://pith.science/api/pith-number/YLMEI5QIPLT25U5ZYTVXMZ7BWH/graph.json","events_json":"https://pith.science/api/pith-number/YLMEI5QIPLT25U5ZYTVXMZ7BWH/events.json","paper":"https://pith.science/paper/YLMEI5QI"},"agent_actions":{"view_html":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH","download_json":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH.json","view_paper":"https://pith.science/paper/YLMEI5QI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.19172&json=true","fetch_graph":"https://pith.science/api/pith-number/YLMEI5QIPLT25U5ZYTVXMZ7BWH/graph.json","fetch_events":"https://pith.science/api/pith-number/YLMEI5QIPLT25U5ZYTVXMZ7BWH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH/action/storage_attestation","attest_author":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH/action/author_attestation","sign_citation":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH/action/citation_signature","submit_replication":"https://pith.science/pith/YLMEI5QIPLT25U5ZYTVXMZ7BWH/action/replication_record"}},"created_at":"2026-06-25T00:18:11.041418+00:00","updated_at":"2026-06-25T00:18:11.041418+00:00"}