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bosehubbard1d_jastrow.py
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bosehubbard1d_jastrow.py
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# Copyright 2018 The Simons Foundation, Inc. - All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import netket as nk
# 1D Periodic Lattice
g = nk.graph.Hypercube(length=12, n_dim=1, pbc=True)
# Boson Hilbert Space
hi = nk.hilbert.Boson(graph=g, n_max=3, n_bosons=12)
# Bose Hubbard Hamiltonian
ha = nk.operator.BoseHubbard(U=4.0, hilbert=hi)
# Jastrow Machine with Symmetry
ma = nk.machine.JastrowSymm(hilbert=hi)
ma.init_random_parameters(seed=1234, sigma=0.01)
# Sampler
sa = nk.sampler.MetropolisHamiltonian(machine=ma, hamiltonian=ha)
# Stochastic gradient descent optimization
op = nk.optimizer.Sgd(learning_rate=0.1)
# Variational Monte Carlo
vmc = nk.variational.Vmc(
hamiltonian=ha,
sampler=sa,
optimizer=op,
n_samples=1000,
diag_shift=5e-3,
use_iterative=False,
method="Sr",
)
vmc.run(output_prefix="test", n_iter=4000)