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Fast Emulation of Fermionic Circuits with Matrix Product States.
Provazza, Justin; Gunst, Klaas; Zhai, Huanchen; Chan, Garnet K-L; Shiozaki, Toru; Rubin, Nicholas C; White, Alec F.
Afiliação
  • Provazza J; Quantum Simulation Technologies Inc., Boston, Massachusetts 02135, United States.
  • Gunst K; Quantum Simulation Technologies Inc., Boston, Massachusetts 02135, United States.
  • Zhai H; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Chan GK; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States.
  • Shiozaki T; Quantum Simulation Technologies Inc., Boston, Massachusetts 02135, United States.
  • Rubin NC; Google Quantum AI, Mountain View, California 94043, United States.
  • White AF; Quantum Simulation Technologies Inc., Boston, Massachusetts 02135, United States.
J Chem Theory Comput ; 20(9): 3719-3728, 2024 May 14.
Article em En | MEDLINE | ID: mdl-38661337
ABSTRACT
We describe a matrix product state (MPS) extension for the Fermionic Quantum Emulator (FQE) software library. We discuss the theory behind symmetry-adapted MPSs for approximating many-body wave functions of spin-1/2 Fermions, and we present an open-source, MPS-enabled implementation of the FQE interface (MPS-FQE). The software uses the open-source pyblock3 and block2 libraries for most elementary tensor operations, and it can largely be used as a drop-in replacement for FQE that allows for more efficient but approximate emulation of larger Fermionic circuits. Finally, we show several applications relevant to both near-term and fault-tolerant quantum algorithms where approximate emulation of larger systems is expected to be useful characterization of state preparation strategies for quantum phase estimation, the testing of different variational quantum eigensolver ansätze, the numerical evaluation of Trotter errors, and the simulation of general quantum dynamics problems. In all these examples, approximate emulation with MPS-FQE allows us to treat systems that are significantly larger than those accessible with a full statevector emulator.

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 País de afiliação: Estados Unidos

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 País de afiliação: Estados Unidos