Improved machine learning algorithm for predicting ground state properties.
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ABSTRACT:
SUBMITTER: Lewis L
PROVIDER: S-EPMC10828424 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
Publications
Improved machine learning algorithm for predicting ground state properties.
Lewis Laura L Huang Hsin-Yuan HY Tran Viet T VT Lehner Sebastian S Kueng Richard R Preskill John J
Nature communications 20240130 1
Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground state properties with an inductive bias encoding geometric locality. The proposed ML model can efficiently predict ground state properties of an n-qubit gapped local Hamiltonian after learning from only [Formula: see text] data about other Hamiltonians in the same quantum phase of matter. This improves substant ...[more]
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