{"record":{"author":{"account_ref":null,"orcid":null},"builds_on":[],"content_schema":"pubphys.content.topic/1","content_sha256":"b68fba98bc4a1266e0534cf623701a3332a140c3c8ccea1cb24879a59bb040c7","created":"2026-10-03T07:17:53Z","files":[],"origin":{"assisted_by":[],"kind":"seed"},"parents":[],"salt":"282d8d12e207acbb552d4793189a4d9d62a4bb02688d4be9ddc8771e91be26df","schema":"pubphys.record/2","site":"pubphys.com","target":null,"type":"topic"},"content":{"external_id":"qi.quantum-chemistry-algorithms","field":"qi","n":"1","review_cite":"B. Bauer, S. Bravyi, M. Motta and G. K.-L. Chan, Quantum algorithms for quantum chemistry and quantum materials science, Chemical Reviews, 2020","review_link":"https://arxiv.org/abs/2001.03685","review_verified":"true","summary":"Chemistry and materials are made of interacting electrons, which quantum computers can in principle simulate directly. The open question is for which molecules and materials an error-corrected quantum computer would beat the best classical methods, and at what cost.","title":"Quantum algorithms for chemistry and materials","topic_ref":null,"why":"Chemistry and materials simulation is the most often cited practical use of quantum computers."},"attested":{"attestation":{"batch":null,"client_id":null,"id_token_sha256":null,"kind":"platform"},"record_hash":"7a5b2e4d74deb25e82b2175151e253081cb18bcfd07a0463c8d69af524e27dcb","schema":"pubphys.attested/1"},"envelope":{"attested_hash":"ae6c49523d517c4ea1f82b39564f5ddd21ccea87fd4ce0c4cb487d336baa73c8","platform_signature":{"key_id":"c6afc19b31429869751f06879c75cd64ea92654423d15b44be775bf1310a60da","sig":"4wc0s2ffqT4v71MhRE5nDPrihcqpvKrB_CwCSbvqkjWprPBzGyva3cPaF70hlL49rEzZ9u7Rf40QC6rZ33ZJBA"},"schema":"pubphys.envelope/1"},"record_hash":"7a5b2e4d74deb25e82b2175151e253081cb18bcfd07a0463c8d69af524e27dcb","leaf_index":340}