Hamiltonian Bootstrap

• URL: http://arxiv.org/abs/2410.00810v2
• Date: Wed, 30 Oct 2024 16:26:01 GMT
• Title: Hamiltonian Bootstrap
• Authors: Michael G. Scheer,
• Abstract summary: We show that symmetry can be used to significantly reduce both the memory and time requirements. We demonstrate Hamiltonian bootstrap using the 1D Hubbard model and find quantitative agreement with both exact diagonalization and the Bethe ansatz.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce a semidefinite relaxation method called Hamiltonian bootstrap which finds lower bounds to the ground state energy of a quantum Hamiltonian subject to Hermitian linear constraints, along with approximations of the corresponding ground state correlation functions. We show that symmetry can be used to significantly reduce both the memory and time requirements, and we include unitary, antiunitary, discrete, and continuous symmetries in our analysis. We demonstrate Hamiltonian bootstrap using the 1D Hubbard model and find quantitative agreement with both exact diagonalization and the Bethe ansatz.

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