4.7 Article

Adaptive Variational Quantum Imaginary Time Evolution Approach for Ground State Preparation

期刊

ADVANCED QUANTUM TECHNOLOGIES
卷 4, 期 12, 页码 -

出版社

WILEY
DOI: 10.1002/qute.202100114

关键词

quantum algorithms; quantum chemistry; quantum computation

资金

  1. U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences, Materials Science and Engineering Division
  2. U.S. DOE [DE-AC02-07CH11358]

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The AVQITE approach introduces an adaptive variational quantum imaginary time evolution method that efficiently represents ground states for interacting Hamiltonians on near-term quantum computers. By iteratively expanding the variational ansatz to keep the McLachlan distance below a chosen threshold, AVQITE ensures the state can follow the quantum imaginary time evolution path in the system Hilbert space. This method has been successfully applied to prepare ground states of molecules like H-4, H2O, and BeH2, showing compact variational ansatze and ground state energies within chemical accuracy.
An adaptive variational quantum imaginary time evolution (AVQITE) approach is introduced that yields efficient representations of ground states for interacting Hamiltonians on near-term quantum computers. It is based on McLachlan's variational principle applied to imaginary time evolution of variational wave functions. The variational parameters evolve deterministically according to equations of motions that minimize the difference to the exact imaginary time evolution, which is quantified by the McLachlan distance. Rather than working with a fixed variational ansatz, where the McLachlan distance is constrained by the quality of the ansatz, the AVQITE method iteratively expands the ansatz along the dynamical path to keep the McLachlan distance below a chosen threshold. This ensures the state is able to follow the quantum imaginary time evolution path in the system Hilbert space rather than in a restricted variational manifold set by a predefined fixed ansatz. AVQITE is used to prepare ground states of H-4, H2O, and BeH2 molecules, where it yields compact variational ansatze and ground state energies within chemical accuracy. Polynomial scaling of circuit depth with system size is shown through a set of AVQITE calculations of quantum spin models. Finally, quantum Lanczos calculations are demonstrated alongside AVQITE without additional quantum resource costs.

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