本文通过最小化旋转后Hamiltonian非对角矩阵元的相位来寻找局域优化基，该优化与平均符号最优相一致，并在一维及二维maple-leaf晶格受挫Heisenberg反铁磁体中提升了量子Monte Carlo效率。
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Quantum Monte Carlo and the Sign Problem
量子多体 Monte Carlo 算法、符号问题、更新策略、测量方法与计算效率。
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- Which Hamiltonian structures admit sign-problem-free or systematically controlled Monte Carlo formulations?
- How can loop, worm, continuous-time, determinant, and diagrammatic updates reduce autocorrelation and variance?
- How should general observables, entanglement, and dynamical quantities be measured reliably?
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