{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:64C5KDGZUKJPD5SYTKGOIRZCM2","short_pith_number":"pith:64C5KDGZ","schema_version":"1.0","canonical_sha256":"f705d50cd9a292f1f6589a8ce44722668012c69f4fec2bfdbfb4df683c8c3ebd","source":{"kind":"arxiv","id":"2606.07825","version":1},"attestation_state":"computed","paper":{"title":"Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Hang Zhang, Jannes Nys, Johannes M\\\"uller, Juan Carrasquilla, Marius Zeinhofer, Siddhartha Mishra, Victor Armegioiu","submitted_at":"2026-06-05T20:23:38Z","abstract_excerpt":"Deep learning offers a powerful approach to quantum many-body problems via neural network wavefunctions, but their optimization remains a severe bottleneck. Existing optimization methods, including natural gradient descent and stochastic reconfiguration, suffer from spectral gap-dependent convergence that limits their effectiveness on systems fraught with competing orders and nearly degenerate ground states, such as frustrated magnets and strongly correlated electron materials. Here, we introduce Projected Inverse Iteration (PII) by re-framing the ground-state search as an eigenvalue problem. "},"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":"2606.07825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-06-05T20:23:38Z","cross_cats_sorted":[],"title_canon_sha256":"44caea7669014376e98c3073b8e505be1df46e5e987867d3e696f1758cb4571b","abstract_canon_sha256":"9a122959e773fa48ab81aad66b130824cca8c4ff3f61c7332ddf7b68ed7871e5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:04:53.182127Z","signature_b64":"+gqg7w9R6UU9WloFnA1KYdL/Jg9Rxmnt6wzrWxJLljN68YyuvWSoMot2Q/IqxsZk2Z0OcfKMAbeJwqtm5frTCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f705d50cd9a292f1f6589a8ce44722668012c69f4fec2bfdbfb4df683c8c3ebd","last_reissued_at":"2026-06-09T01:04:53.181692Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:04:53.181692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Hang Zhang, Jannes Nys, Johannes M\\\"uller, Juan Carrasquilla, Marius Zeinhofer, Siddhartha Mishra, Victor Armegioiu","submitted_at":"2026-06-05T20:23:38Z","abstract_excerpt":"Deep learning offers a powerful approach to quantum many-body problems via neural network wavefunctions, but their optimization remains a severe bottleneck. Existing optimization methods, including natural gradient descent and stochastic reconfiguration, suffer from spectral gap-dependent convergence that limits their effectiveness on systems fraught with competing orders and nearly degenerate ground states, such as frustrated magnets and strongly correlated electron materials. Here, we introduce Projected Inverse Iteration (PII) by re-framing the ground-state search as an eigenvalue problem. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07825","kind":"arxiv","version":1},"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/2606.07825/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":"2606.07825","created_at":"2026-06-09T01:04:53.181748+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.07825v1","created_at":"2026-06-09T01:04:53.181748+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07825","created_at":"2026-06-09T01:04:53.181748+00:00"},{"alias_kind":"pith_short_12","alias_value":"64C5KDGZUKJP","created_at":"2026-06-09T01:04:53.181748+00:00"},{"alias_kind":"pith_short_16","alias_value":"64C5KDGZUKJPD5SY","created_at":"2026-06-09T01:04:53.181748+00:00"},{"alias_kind":"pith_short_8","alias_value":"64C5KDGZ","created_at":"2026-06-09T01:04:53.181748+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2","json":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2.json","graph_json":"https://pith.science/api/pith-number/64C5KDGZUKJPD5SYTKGOIRZCM2/graph.json","events_json":"https://pith.science/api/pith-number/64C5KDGZUKJPD5SYTKGOIRZCM2/events.json","paper":"https://pith.science/paper/64C5KDGZ"},"agent_actions":{"view_html":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2","download_json":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2.json","view_paper":"https://pith.science/paper/64C5KDGZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.07825&json=true","fetch_graph":"https://pith.science/api/pith-number/64C5KDGZUKJPD5SYTKGOIRZCM2/graph.json","fetch_events":"https://pith.science/api/pith-number/64C5KDGZUKJPD5SYTKGOIRZCM2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2/action/storage_attestation","attest_author":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2/action/author_attestation","sign_citation":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2/action/citation_signature","submit_replication":"https://pith.science/pith/64C5KDGZUKJPD5SYTKGOIRZCM2/action/replication_record"}},"created_at":"2026-06-09T01:04:53.181748+00:00","updated_at":"2026-06-09T01:04:53.181748+00:00"}