{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CU5IJJV4DRRU6EIIPINU3VOZHP","short_pith_number":"pith:CU5IJJV4","schema_version":"1.0","canonical_sha256":"153a84a6bc1c634f11087a1b4dd5d93bce9b0e562881523b83d3879f962eff10","source":{"kind":"arxiv","id":"1804.03159","version":2},"attestation_state":"computed","paper":{"title":"Strawberry Fields: A Software Platform for Photonic Quantum Computing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"quant-ph","authors_text":"Christian Weedbrook, Josh Izaac, Matthew Amy, Nathan Killoran, Nicol\\'as Quesada, Ville Bergholm","submitted_at":"2018-04-09T18:00:16Z","abstract_excerpt":"We introduce Strawberry Fields, an open-source quantum programming architecture for light-based quantum computers, and detail its key features. Built in Python, Strawberry Fields is a full-stack library for design, simulation, optimization, and quantum machine learning of continuous-variable circuits. The platform consists of three main components: (i) an API for quantum programming based on an easy-to-use language named Blackbird; (ii) a suite of three virtual quantum computer backends, built in NumPy and TensorFlow, each targeting specialized uses; and (iii) an engine which can compile Black"},"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":"1804.03159","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2018-04-09T18:00:16Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"aa374a277f3f8c1deaffc4aee6d6587265318a6ee03a9db2b85a4b833f38ec04","abstract_canon_sha256":"268321e4a80ff4dd154f77c70b6d5860186e1a9044a6b55be5a4aa630c2f09a9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:39.677053Z","signature_b64":"fcFKqpt9ZBgRN4z+k63hhLB078iqJ05Bn94BDKO/hDGGQnCFjUS/ldkJ6rc4+hE1TrT1UjEyVY4I5evCdvifBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"153a84a6bc1c634f11087a1b4dd5d93bce9b0e562881523b83d3879f962eff10","last_reissued_at":"2026-05-17T23:51:39.676473Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:39.676473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Strawberry Fields: A Software Platform for Photonic Quantum Computing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"quant-ph","authors_text":"Christian Weedbrook, Josh Izaac, Matthew Amy, Nathan Killoran, Nicol\\'as Quesada, Ville Bergholm","submitted_at":"2018-04-09T18:00:16Z","abstract_excerpt":"We introduce Strawberry Fields, an open-source quantum programming architecture for light-based quantum computers, and detail its key features. Built in Python, Strawberry Fields is a full-stack library for design, simulation, optimization, and quantum machine learning of continuous-variable circuits. The platform consists of three main components: (i) an API for quantum programming based on an easy-to-use language named Blackbird; (ii) a suite of three virtual quantum computer backends, built in NumPy and TensorFlow, each targeting specialized uses; and (iii) an engine which can compile Black"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.03159","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":""},"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":"1804.03159","created_at":"2026-05-17T23:51:39.676587+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.03159v2","created_at":"2026-05-17T23:51:39.676587+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.03159","created_at":"2026-05-17T23:51:39.676587+00:00"},{"alias_kind":"pith_short_12","alias_value":"CU5IJJV4DRRU","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"CU5IJJV4DRRU6EII","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"CU5IJJV4","created_at":"2026-05-18T12:32:19.392346+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2602.11092","citing_title":"MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning","ref_index":8,"is_internal_anchor":true},{"citing_arxiv_id":"1811.04968","citing_title":"PennyLane: Automatic differentiation of hybrid quantum-classical computations","ref_index":34,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP","json":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP.json","graph_json":"https://pith.science/api/pith-number/CU5IJJV4DRRU6EIIPINU3VOZHP/graph.json","events_json":"https://pith.science/api/pith-number/CU5IJJV4DRRU6EIIPINU3VOZHP/events.json","paper":"https://pith.science/paper/CU5IJJV4"},"agent_actions":{"view_html":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP","download_json":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP.json","view_paper":"https://pith.science/paper/CU5IJJV4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.03159&json=true","fetch_graph":"https://pith.science/api/pith-number/CU5IJJV4DRRU6EIIPINU3VOZHP/graph.json","fetch_events":"https://pith.science/api/pith-number/CU5IJJV4DRRU6EIIPINU3VOZHP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP/action/storage_attestation","attest_author":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP/action/author_attestation","sign_citation":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP/action/citation_signature","submit_replication":"https://pith.science/pith/CU5IJJV4DRRU6EIIPINU3VOZHP/action/replication_record"}},"created_at":"2026-05-17T23:51:39.676587+00:00","updated_at":"2026-05-17T23:51:39.676587+00:00"}