netket.sampler.rules.TensorRule#
- netket.sampler.rules.TensorRule(hilbert, rules)#
A Metropolis sampling rule that can be used to combine different rules acting on different subspaces of the same tensor-hilbert space.
It should be constructed by passing a TensorHilbert space as a first argument and a list of rules as a second argument. Each rule[i] will be used to generate a transition for the i-th subspace of the tensor hilbert space.
- Parameters:
hilbert (
TensorHilbert) – The tensor hilbert space on which the rule acts.rules (
Tuple[MetropolisRule,...]) – A list of rules, one for each subspace of the tensor hilbert space.
- Return type:
TensorRule