quimb.experimental.cluster_update.cluster_update_old

Implementation of arbitrary geometry wavefunction cluster update.

Attributes

gate_inds_nn_fit_

Classes

ClusterUpdateNNGen

Cluster update for arbitrary geometry nearest neighbor hamiltonians.

Functions

gate_inds_nn_fit(self, G, ind1, ind2[, max_bond, ...])

Gate two nearest neighbor outer indices, using full fitting of

Module Contents

quimb.experimental.cluster_update.cluster_update_old.gate_inds_nn_fit(self, G, ind1, ind2, max_bond=None, method='als', pregauge=2, init_simple_guess=True, steps=10, fit_opts=None, contract_opts=None, inplace=False)

Gate two nearest neighbor outer indices, using full fitting of reduced tensors with respect to the environment. This is more accurate than a simple reduced gate when restricting the bond dimension.

Parameters:

  • G (array_like) – The gate to fit.

  • ind1 (str) – The indices to gate.

  • ind2 (str) – The indices to gate.

  • max_bond (int, optional) – The maximum bond dimension to use. If None, use the maximum bond dimension that the tensors currently share.

  • method ({'als', 'autodiff'}, optional) – The method to use for fitting.

  • pregauge (int, optional) – How many times to locally canonize from the purified environment tensor to both the left and right reduced tensors.

  • init_simple_guess (bool, optional) – Whether to use a ‘simple update’ guess for the initial guess. This can be quite high quality already if pregauging is used.

  • steps (int, optional) – The number of steps to use for fitting, can be 0 in which case the initial guess is used, which in conjuction with the envinronment pregauging can still be quite high quality.

  • inplace (bool, optional) – Whether to update the tensor network in place.

  • contract_opts – Supplied to contract().

quimb.experimental.cluster_update.cluster_update_old.gate_inds_nn_fit_
class quimb.experimental.cluster_update.cluster_update_old.ClusterUpdateNNGen(psi0, ham, tau=0.01, D=None, cluster_radius=1, cluster_fillin=0, gauge_smudge=1e-06, imag=True, gate_opts=None, ordering=None, second_order_reflect=False, compute_energy_every=None, compute_energy_final=True, compute_energy_opts=None, compute_energy_fn=None, compute_energy_per_site=False, callback=None, keep_best=False, progbar=True)

Bases: quimb.tensor.tnag.tebd.SimpleUpdateGen

Cluster update for arbitrary geometry nearest neighbor hamiltonians. This keeps track of simple update style gauges, in order to approximately partial trace beyond cluster_radius and form an approximate environment for two nearest neighbor sites that be used to fit the gate with higher quality than simple update only.

cluster_radius = 1
cluster_fillin = 0
gauge_smudge = 1e-06
gate(U, where)

Application of a single gate G at where.