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State Preparation in Quantum Algorithms for Fragment-Based Quantum Chemistry.
D'Cunha, Ruhee; Otten, Matthew; Hermes, Matthew R; Gagliardi, Laura; Gray, Stephen K.
Afiliação
  • D'Cunha R; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States.
  • Otten M; HRL Laboratories LLC, Malibu, California 90265, United States.
  • Hermes MR; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States.
  • Gagliardi L; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States.
  • Gray SK; Argonne National Laboratory, Lemont, Illinois 60439, United States.
J Chem Theory Comput ; 20(8): 3121-3130, 2024 Apr 23.
Article em En | MEDLINE | ID: mdl-38607377
ABSTRACT
State preparation for quantum algorithms is crucial for achieving high accuracy in quantum chemistry and competing with classical algorithms. The localized active space-unitary coupled cluster (LAS-UCC) algorithm iteratively loads a fragment-based multireference wave function onto a quantum computer. In this study, we compare two state preparation methods, quantum phase estimation (QPE) and direct initialization (DI), for each fragment. We test the two state preparation methods on three systems, ranging from a model system, a set of interacting hydrogen molecules, to more realistic chemical problems, like the C-C double bond breaking in transbutadiene and the spin ladder in a bimetallic system. We analyze the impact of QPE parameters, such as the number of ancilla qubits and Trotter steps, on the prepared state. We find a trade-off between the methods, where DI requires fewer resources for smaller fragments, while QPE is more efficient for larger fragments. Our resource estimates highlight the benefits of system fragmentation in state preparation for subsequent quantum chemical calculations. These findings have broad applications for preparing multireference quantum chemical wave functions on quantum circuits that can be used for realistic chemical applications.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Theory Comput Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Theory Comput Ano de publicação: 2024 Tipo de documento: Article