This sampler performs parallel-tempering moves in addition to
the local exchange moves implemented in
The number of replicas can be chosen by the user.
Constructs a new
MetropolisExchangePt sampler given a machine, a
graph, and a number of replicas.
|machine||netket._C_netket.machine.Machine||A machine used for the sampling. The probability distribution being sampled from is , where the function , is arbitrary, by default .|
|graph||netket._C_netket.graph.Graph||A graph used to define the distances among the degrees of freedom being sampled.|
|d_max||int=1||The maximum graph distance allowed for exchanges.|
|n_replicas||int=1||The number of replicas used for parallel tempering.|
Sampling from a RBM machine in a 1D lattice of spin 1/2, using nearest-neighbours exchanges.
>>> import netket as nk >>> >>> g=nk.graph.Hypercube(length=10,n_dim=2,pbc=True) >>> hi=nk.hilbert.Spin(s=0.5,graph=g) >>> >>> # RBM Spin Machine >>> ma = nk.machine.RbmSpin(alpha=1, hilbert=hi) >>> >>> # Construct a MetropolisExchange Sampler with parallel tempering >>> sa = nk.sampler.MetropolisExchangePt(machine=ma,graph=g,d_max=1,n_replicas=16)
Resets the state of the sampler, including the acceptance rate statistics and optionally initializing at random the visible units being sampled.
Seeds the random number generator used by the
|base_seed||int||The base seed for the random number generator|
Performs a sampling sweep. Typically a single sweep consists of an extensive number of local moves.
|acceptance||numpy.array||The measured acceptance rate for the sampling. In the case of rejection-free sampling this is always equal to 1.|
|hilbert||netket.hilbert||The Hilbert space used for the sampling.|
|machine||netket.machine||The machine used for the sampling.|
|machine_func||function(complex)||The function to be used for sampling. by default is sampled, however in general|
|visible||numpy.array||The quantum numbers being sampled, and distributed according to|