[ ] (simulation) Is there any advantage of similarity transformation over unitary transformation in terms of reducing negative elements in matrix?
[x] (simulation) develop algorithm for minimizing ground state energies for absolute matrix
[x] Implement reweighting method for reduce negative sign (turns out that it is meeningless)
[ ] advantage of unitary matrix over orthogonal matrix
[ ] Implement riemannian optimization
Frustration-free model
[ ] (Theoretically) All frustration-free models can transform into the non-negative-sign models at zero temperature?
[x] (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?
Algorithm
[ ] (simulation) Is there any advantage of similarity transformation over unitary transformation in terms of reducing negative elements in matrix?
[x] (simulation) develop algorithm for minimizing ground state energies for absolute matrix
[x] Implement reweighting method for reduce negative sign (turns out that it is meeningless)
[ ] advantage of unitary matrix over orthogonal matrix
[ ] Implement riemannian optimization
Frustration-free model
[ ] (Theoretically) All frustration-free models can transform into the non-negative-sign models at zero temperature?
[x] (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?
[ ] (simulation) Apply algorithm