def test_vmps(self):
'''
Run vMPS for Heisenberg model.
'''
nsite=10
nspin=2
model=self.get_model(nsite,nspin=nspin)
#EG,mps=self.dmrgrun(model)
#run vmps
#generate a random mps as initial vector
bmg=SimpleBMG(spaceconfig=model.spaceconfig,qstring='M')
#k0=product_state(config=random.randint(0,2,nsite),hndim=2)
if nspin==2:
k0=product_state(config=repeat([0,1],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
else:
k0=product_state(config=repeat([0,2],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
#setting up the engine
vegn=VMPSEngine(H=model.H.use_bm(bmg),k0=k0,eigen_solver='JD')
#check the label setting is working properly
assert_(all([ai.shape==(ai.labels[0].bm.N,ai.labels[1].bm.N,ai.labels[2].bm.N) for ai in vegn.ket.ML]))
assert_(all([ai.shape==(ai.labels[0].bm.N,ai.labels[1].bm.N,ai.labels[2].bm.N,ai.labels[3].bm.N) for ai in vegn.H.OL]))
#warm up
vegn.warmup(10)
vegn.eigen_solver='LC'
vegn.run(5,maxN=[40,100,200,200,200,200,200],which='SA')
pdb.set_trace()
vegn.run(5,maxN=80,which='SA')
pdb.set_trace()
def test_2d(self):
'''
Run vMPS for Heisenberg model.
'''
N1,N2=4,4
nsite=N1*N2
nspin=2
model=self.get_model2d(N=N1,nspin=nspin)
#EG,mps=self.dmrgrun(model)
#run vmps
#generate a random mps as initial vector
bmg=SimpleBMG(spaceconfig=model.spaceconfig,qstring='M')
#k0=product_state(config=random.randint(0,2,nsite),hndim=2)
if nspin==2:
k0=product_state(config=repeat([0,1],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
else:
k0=product_state(config=repeat([0,2],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
#setting up the engine
#mpo1=copy.deepcopy(model.H).compress(kernel='svd',tol=1e-8)[0]
mpo=copy.deepcopy(model.H).compress(kernel='dpl',tol=1e-8)[0]
#mpo3=copy.deepcopy(model.H).compress(kernel='ldu',tol=1e-8)[0]
vegn=VMPSEngine(H=mpo.use_bm(bmg),k0=k0,eigen_solver='JD')
#check the label setting is working properly
assert_(all([ai.shape==(ai.labels[0].bm.N,ai.labels[1].bm.N,ai.labels[2].bm.N) for ai in vegn.ket.ML]))
assert_(all([ai.shape==(ai.labels[0].bm.N,ai.labels[1].bm.N,ai.labels[2].bm.N,ai.labels[3].bm.N) for ai in vegn.H.OL]))
#warm up
vegn.warmup(10)
vegn.run(5,maxN=[40,100,150,150,150,150,150],which='SA')
pdb.set_trace()
vegn.run(5,maxN=80,which='SA')
pdb.set_trace()
def test_vmps(self):
'''
Run vMPS for Heisenberg model.
'''
nsite=10
filename='mps_heisenberg_%s.dat'%(nsite)
model=self.get_model(nsite,which=1)
#mps=MPS.load(filename)
#run dmrg to get the initial guess.
hgen=RGHGen(spaceconfig=SpinSpaceConfig([2,1]),H=model.H_serial,evolutor_type='masked')
dmrgegn=DMRGEngine(hgen=hgen,tol=0,reflect=True)
dmrgegn.use_U1_symmetry('M',target_block=0)
EG,mps=dmrgegn.run_finite(endpoint=(1,'<-',0),maxN=40,tol=1e-12)
mps.save(filename)
#run vmps
vegn=VMPSEngine(H=model.H,k0=mps)
vegn.run()
def test_vmps(self):
'''
Run vMPS for Heisenberg model.
'''
nsite=10
filename='mps_heisenberg_%s.dat'%(nsite)
model=self.get_model(nsite,which=1)
#mps=MPS.load(filename)
#run dmrg to get the initial guess.
hgen=SpinHGen(spaceconfig=SpinSpaceConfig([2,1]),evolutor=MaskedEvolutor(hndim=2))
dmrgegn=DMRGEngine(hchain=model.H_serial,hgen=hgen,tol=0)
dmrgegn.run_finite(endpoint=(1,'<-',0),maxN=40,tol=1e-12)
#hgen=dmrgegn.query('r',nsite-1)
mps=dmrgegn.get_mps() #right normalized initial state
mps.save(filename)
#run vmps
vegn=VMPSEngine(H=model.H,k0=mps)
vegn.run()
def test_iterator(self):
nsite=4
model=self.get_model(nsite)
k0=product_state(config=repeat([0,1],nsite/2),hndim=model.spaceconfig.hndim)
vegn=VMPSEngine(H=model.H,k0=k0,eigen_solver='LC')
start=(1,'->',2)
stop=(3,'<-',1)
print 'Testing iterator start = %s, stop= %s'%(start,stop)
iterator=vegn._get_iterator(start=start,stop=stop)
order=[(1,'->',2),(1,'<-',1),(1,'<-',0),
(2,'->',1),(2,'->',2),(2,'<-',1),(2,'<-',0),
(3,'->',1),(3,'->',2),(3,'<-',1),
]
for od,it in zip(order,iterator):
assert_(od==it)
print 'Testing 2-site iterator.'
nsite=2
model=self.get_model(nsite)
k0=product_state(config=repeat([0,1],nsite/2),hndim=model.spaceconfig.hndim)
vegn=VMPSEngine(H=model.H,k0=k0,eigen_solver='LC')
start=(1,'->',0)
stop=(3,'->',0)
order=[(1,'->',0),(2,'->',0),(3,'->',0)]
iterator=vegn._get_iterator(start=start,stop=stop)
for od,it in zip(order,iterator):
assert_(od==it)
def test_nonint():
'''
Run vMPS for Heisenberg model.
'''
nsite=10
model=ChainN(t=1.,U=0.,nsite=nsite)
spaceconfig1=SuperSpaceConfig([1,2,1])
#exact result
h0=zeros([nsite,nsite])
fill_diagonal(h0[1:,:-1],1.); h0=h0+h0.T
e_=2*eigvalsh(h0)
e_exact=sum(e_[e_<0])
pdb.set_trace()
#run vmps
#generate a random mps as initial vector
bmg=SimpleBMG(spaceconfig=spaceconfig1,qstring='QM')
#k0=product_state(config=random.randint(0,2,nsite),hndim=2)
k0=product_state(config=repeat([1,2],nsite/2),hndim=spaceconfig1.hndim,bmg=bmg)
mpo=model.hchain.toMPO(bmg=bmg,method='direct')
#k0=product_state(config=repeat([0,2],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
#setting up the engine
vegn=VMPSEngine(H=mpo,k0=k0,eigen_solver='LC')
#check the label setting is working properly
assert_(all([ai.shape==(ai.labels[0].bm.N,ai.labels[1].bm.N,ai.labels[2].bm.N) for ai in vegn.ket.ML]))
assert_(all([ai.shape==(ai.labels[0].bm.N,ai.labels[1].bm.N,ai.labels[2].bm.N,ai.labels[3].bm.N) for ai in vegn.H.OL]))
#warm up
vegn.warmup(10)
vegn.eigen_solver='JD'
e,v=vegn.run(maxN=[40,60,80,100,100,100,100],which='SA',nsite_update=2,endpoint=(5,'->',0))
assert_almost_equal(e,e_exact,rtol=1e-4)
def test_inff(mode='save'):
'''
Run infinite vMPS for Heisenberg model.
'''
t=1.
U=100.
mu=U/2.
#generate a random mps as initial vector
spaceconfig1=SuperSpaceConfig([1,2,1])
bmg=SimpleBMG(spaceconfig=spaceconfig1,qstring='QM')
k0=product_state(config=array([1,2]),hndim=spaceconfig1.hndim,bmg=bmg)
model2=ChainN(t=t,U=U,nsite=2,mu=mu)
mpo2=model2.hchain.toMPO(bmg=bmg,method='direct')
model=ChainN(t=t,U=U,nsite=4,mu=mu)
mpo4=model.hchain.toMPO(bmg=bmg,method='direct')
mpo=model.hchain.toMPO(bmg=bmg,method='direct')
#setting up the engine
vegn=VMPSEngine(H=mpo2,k0=k0,eigen_solver='LC')
vegn.run(1)
#H2=mpo2.H
#print eigvalsh(H2)[0]
#print model2.hchain
#print model2.hchain.H()-mpo2.H
#pdb.set_trace()
filetoken='data/con_dump_U%s_t%s_mu%s'%(U,t,mu)
if mode=='save':
vegn.generative_run(HP=mpo4.OL[1:3],ngen=100,niter_inner=1,maxN=100,trunc_mps=True,which='SA')
vegn.con.dump_data(filetoken)
else:
vegn.con.load_data(filetoken)
pdb.set_trace()
def test_vmps2(self):
'''
Run vMPS for Heisenberg model.
'''
nsite=20
model=self.get_model(nsite)
#EG,mps=self.dmrgrun(model)
#run vmps
#generate a random mps as initial vector
#k0=product_state(config=random.randint(0,2,nsite),hndim=3)
k0=product_state(config=repeat([0,1],nsite/2),hndim=model.spaceconfig.hndim)
#setting up the engine
vegn=VMPSEngine(H=model.H,k0=k0,eigen_solver='LC',nsite_update=2)
#check the label setting is working properly
vegn.run(4,maxN=40,which='SA')
pdb.set_trace()
vegn.run(4,maxN=40,which='SA')
pdb.set_trace()
def test_generative(self,trunc_mps):
'''
Run vMPS for Heisenberg model.
'''
nsite=4
nspin=2
model=self.get_model(nsite,nspin=nspin)
model2=self.get_model(nsite*2,nspin=nspin)
#EG,mps=self.dmrgrun(model)
#run vmps
#generate a random mps as initial vector
bmg=SimpleBMG(spaceconfig=model.spaceconfig,qstring='M')
#k0=product_state(config=random.randint(0,2,nsite),hndim=2)
k0=product_state(config=repeat([0,nspin-1],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
#setting up the engine
vegn=VMPSEngine(H=model.H.use_bm(bmg),k0=k0,eigen_solver='JD',iprint=1)
niter_inner=4 if nsite>2 else 1
vegn.run(niter_inner,maxN=50,which='SA')
#warm up
vegn.generative_run(HP=model2.H.OL[nsite/2:nsite*3/2],ngen=100,niter_inner=niter_inner,maxN=50,trunc_mps=trunc_mps,which='SA')
pdb.set_trace()
def test_int():
'''
Run vMPS for Heisenberg model.
'''
nsite=32
U=10.0
model=ChainN(t=1.,U=U,mu=U/2.,nsite=nsite)
spaceconfig1=SuperSpaceConfig([1,2,1])
#EG,mps=self.dmrgrun(model)
#run vmps
#generate a random mps as initial vector
bmg=SimpleBMG(spaceconfig=spaceconfig1,qstring='QM')
#k0=product_state(config=random.randint(0,2,nsite),hndim=2)
k0=product_state(config=repeat([1,2],nsite/2),hndim=spaceconfig1.hndim,bmg=bmg)
#mpo=model.hchain.toMPO(bmg=bmg,method='addition').compress(kernel='ldu')[0]
#mpo.eliminate_zeros(1e-8)
mpo=model.hchain.toMPO(bmg=bmg,method='direct')
#mpo3=model.hchain.toMPO(bmg=bmg,method='direct').compress(kernel='ldu')[0]
#mpo4=model.hchain.toMPO(bmg=bmg,method='direct').compress(kernel='dpl')[0]
#k0=product_state(config=repeat([0,2],nsite/2),hndim=model.spaceconfig.hndim,bmg=bmg)
#warm up the engine
#vegn=VMPSEngine(H=mpo,k0=k0,eigen_solver='LC')
#vegn.warmup(12)
#generative run
model2=ChainN(t=1,U=U,mu=U/2.,nsite=2)
k02=product_state(config=array([1,2]),hndim=spaceconfig1.hndim,bmg=bmg)
mpo2=model2.hchain.toMPO(bmg=bmg,method='direct')
vegn=VMPSEngine(H=mpo2,k0=k02,eigen_solver='LC')
vegn.generative_run(HP=mpo.OL[1:3],ngen=nsite/2-1,niter_inner=1,maxN=50,trunc_mps=False,which='SA')
vegn.run(6,maxN=[40,50,50,50,50,50,50])
#vegn.run(maxN=80,which='SA',nsite_update=1,endpoint=(3,'->',0))
pdb.set_trace()