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Computational complexity analysis demonstrates MA-completeness for the local Hamiltonian problem with succinct ground states, highlighting classical verification limits for quantum energies.
Finding the ground energy of a quantum system is a fundamental problem in condensed-matter physics and quantum chemistry. Existing classical algorithms for tackling this problem often assume that the ground state has a succinct classical description, i.e., a poly-size classical circuit for computing the amplitude. Notable examples of succinct states encompass matrix product states, contractible projected-entangled-pair states, and states that can be represented by classical neural networks. We study the complexity of the local Hamiltonian problem (LHP) with a succinct ground state. We prove that this problem is MA - complete . The Hamiltonian that we consider is general and might not be stoquastic. The MA verification protocol is based on the fixed-node quantum Monte Carlo method, particularly the variant of the continuous-time Markov chain introduced by Bravyi, Carleo, Gosset, and Liu. Based on our work, we also introduce a notion of strong guided states and conjecture that the LHP with a strong guided state is MA - complete , which will be in contrast with the QCMA - complete result of the LHP with standard guided states.
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Jiaqing Jiang (2025) studied this question.
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