NormDisentangler

• full name: tenpy.algorithms.disentangler.NormDisentangler

• parent module: tenpy.algorithms.disentangler

• type: class

Inheritance Diagram

Methods

NormDisentangler.__init__(parent)
NormDisentangler.iter(theta, U, trunc_params)	Given theta and U, find U2 maximizing <theta|U2 truncate(U |theta>).

class tenpy.algorithms.disentangler.NormDisentangler(parent)

Bases: Disentangler

Disentangle with the unitary that maximizes overlap with the truncated U|theta>.

Options

iter(theta, U, trunc_params)

Given theta and U, find U2 maximizing <theta|U2 truncate(U |theta>).

Finds unitary U2 which maximizes Tr(U

Parameters:

• theta (Array) – Two-site wave function to be disentangled.

• U (Array) – The previous guess for U; with legs 'q0', 'q1', 'q0*', 'q1*'.

• trunc_params (dict) – The truncation parameters (similar as self.trunc_params) used to truncate U|theta>.

Returns:

• trunc_err (TruncationError) – Norm error discarded during the truncation of U|theta>.

• new_U (Array) – Unitary with legs 'q0', 'q1', 'q0*', 'q1*'. Chosen such that new_U|theta> has maximal overlap with the truncated U|theta>.