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Description
Algorithm
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(simulation) Is there any advantage of similarity transformation over unitary transformation in terms of reducing negative elements in matrix?
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(simulation) develop algorithm for minimizing ground state energies for absolute matrix
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Implement reweighting method for reduce negative sign (turns out that it is meeningless)
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advantage of unitary matrix over orthogonal matrix
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Implement riemannian optimization
Frustration-free model
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(Theoretically) All frustration-free models can transform into the non-negative-sign models at zero temperature?
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(Theoretically) If absolute map of local hamiltonian has the same ground-state energies spectrum, then the model after absolute map is also a frustration-free model?
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(simulation) Apply algorithm
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