pyblock3.algorithms
pyblock3.algorithms.core
Common methods for sweep algorithms.
- class pyblock3.algorithms.core.DecompositionTypes(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)
Bases:
Enum
- DensityMatrix = 1
- SVD = 2
- class pyblock3.algorithms.core.NoiseTypes(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)
Bases:
Enum
- Perturbative = 1
- Random = 2
- class pyblock3.algorithms.core.SweepAlgorithm(cutoff=1e-14, decomp_type=DecompositionTypes.DensityMatrix, noise_type=NoiseTypes.Perturbative, mpi=False)
Bases:
object
- add_dm_noise(dm, mpo, wfn, noise, forward)
- add_wfn_noise(wfn, noise, forward)
- decomp_two_site(mpo, wfns, forward, noise, bond_dim, weights=None)
- pyblock3.algorithms.core.fmt_size(i, suffix='B')
pyblock3.algorithms.dmrg
- class pyblock3.algorithms.dmrg.DMRG(mpe, bdims, noises=None, dav_thrds=None, max_iter=500, iprint=2, cutoff=1e-14, extra_mpes=None, weights=None, init_site=None)
Bases:
SweepAlgorithm
Density Matrix Renormalization Group (DMRG).
- solve(n_sweeps=10, tol=1e-06, dot=2, forward=True)
pyblock3.algorithms.green
- class pyblock3.algorithms.green.GreensFunction(mpe, mpo, omega, eta, bdims, noises=None, cg_thrds=None, iprint=2)
Bases:
SweepAlgorithm
DDMRG++ for solving Green’s function.
- solve(n_sweeps=10, tol=1e-06, dot=2)
pyblock3.algorithms.linear
- class pyblock3.algorithms.linear.Linear(mpe, bdims, noises=None, cg_thrds=None, iprint=2)
Bases:
SweepAlgorithm
Solving linear equation or compression in sweeps.
- solve(n_sweeps=10, tol=1e-06, dot=2)
pyblock3.algorithms.tddmrg
- class pyblock3.algorithms.tddmrg.TDDMRG(mpe, bdims, iprint=2, **kwargs)
Bases:
SweepAlgorithm
Time-step targetting td-DMRG approach.
- solve(dt, n_sweeps=10, n_sub_sweeps=2, dot=2, forward=True, normalize=True)