Launch

Run DMRG to find the ground state of a Hamiltonian MPO.

run

run(mps: MPS, mpo: MPO, opts: Optional[Options] = None) -> Summary

Run DMRG to find the ground state of a Hamiltonian MPO.

Performs alternating forward and backward half-sweeps, optimising each site tensor with the Davidson eigensolver, until the energy converges or the maximum number of sweeps is reached.

Parameters:

Name	Type	Description	Default
mps	MPS	Initial MPS state. Canonicalised in-place to center = 0 before the first sweep.	required
mpo	MPO	Hamiltonian MPO of the same length as mps.	required
opts	Optional[Options]	Run options. Defaults to Options() if None.	None

Returns:

Type	Description
Summary	Ground-state energy, optimised MPS, energy history, and convergence information.

Raises:

Type	Description
NotImplementedError	If opts.scheme is not '1s' (other schemes are planned but not yet implemented).
ValueError	If mps and mpo have different lengths.

See Also

• Options — configure the run.
• Summary — interpret the output.
• build_hamiltonian — create the mpo argument.
• DMRG examples