add abstract circuit

Author: JiaceSun

benchmarks/scripts/utils.py

@@ -183,8 +183,8 @@ def processing(train_img, test_img, train_lbl, test_lbl):
         pca.fit(train_img)
         train_img = pca.transform(train_img)
         test_img = pca.transform(test_img)
-        train_img = np.array([x / np.sqrt(np.sum(x**2)) for x in train_img])
-        test_img = np.array([x / np.sqrt(np.sum(x**2)) for x in test_img])
+        train_img = np.array([x / np.sqrt(np.sum(x ** 2)) for x in train_img])
+        test_img = np.array([x / np.sqrt(np.sum(x ** 2)) for x in test_img])
         qml_data["test_img"] = test_img
         qml_data["train_img"] = train_img
         qml_data["train_lbl"] = train_lbl

examples/checkpoint_memsave.py

@@ -97,7 +97,7 @@ def totallayer(s, param):
 
 
 def vqe_forward(param):
-    s = tc.backend.ones([2**nwires])
+    s = tc.backend.ones([2 ** nwires])
     s /= tc.backend.norm(s)
     s = totallayer(s, param)
     e = tc.expectation((tc.gates.x(), [1]), ket=s)

examples/hchainhamiltonian.py

@@ -4,6 +4,7 @@
 
 import time
 import tensorflow as tf
+from scipy import sparse
 from openfermion.chem import MolecularData
 from openfermion.transforms import (
     get_fermion_operator,
@@ -14,7 +15,6 @@
 )
 from openfermion.utils import up_then_down
 from openfermionpyscf import run_pyscf
-from scipy import sparse
 
 import tensorcircuit as tc
 

examples/quantumng.py

@@ -7,8 +7,8 @@
 
 sys.path.insert(0, "../")
 
-import optax
 import tensorflow as tf
+import optax
 
 import tensorcircuit as tc
 from tensorcircuit import experimental

examples/variational_dynamics.py

@@ -96,7 +96,7 @@ def update(theta, lhs, rhs, tau):
     # TFIM Hamiltonian defined on lattice graph g (1D OBC chain)
     h = tc.array_to_tensor(h)
 
-    psi0 = np.zeros(2**N)
+    psi0 = np.zeros(2 ** N)
     psi0[0] = 1.0
     psi0 = tc.array_to_tensor(psi0)
 

examples/variational_dynamics_generalized.py

@@ -116,7 +116,7 @@ def update(theta, lhs, rhs, tau):
     # TFIM Hamiltonian defined on lattice graph g (1D OBC chain)
     h = tc.array_to_tensor(h)
 
-    psi0 = np.zeros(2**N)
+    psi0 = np.zeros(2 ** N)
     psi0[0] = 1.0
     psi0 = tc.array_to_tensor(psi0)
 

examples/vqeh2o_benchmark.py

@@ -41,7 +41,7 @@
 mb = tc.quantum.PauliStringSum2COO_numpy(lsb, wb)
 mbd = mb.todense()
 mb = K.coo_sparse_matrix(
-    np.transpose(np.stack([mb.row, mb.col])), mb.data, shape=(2**n, 2**n)
+    np.transpose(np.stack([mb.row, mb.col])), mb.data, shape=(2 ** n, 2 ** n)
 )
 mbd = tc.array_to_tensor(mbd)
 

examples/vqetfim_benchmark.py

@@ -115,7 +115,7 @@ def vqe_template(param, op):
         np.stack([hamiltonian_sparse_numpy.row, hamiltonian_sparse_numpy.col])
     ),
     hamiltonian_sparse_numpy.data,
-    shape=(2**n, 2**n),
+    shape=(2 ** n, 2 ** n),
 )
 
 if enable_dense is True: