Add fermionic transitions to the pool of configurations
Here we demonstrate the functionalities to augment the pool of electronic configurations obtained by the action of transition operators on each electronic configuration.
We demonstrate how to add single-electron hops of the type:
for and , and for all in the batch of electronic configurations. We start by generating a batch of random electronic configurations:
# Added by doQumentation — installs the packages this notebook needs if they are missing
import importlib.util
_needed = {"numpy": "numpy", "qiskit_addon_sqd": "qiskit-addon-sqd"}
_missing = [pip for module, pip in _needed.items()
if importlib.util.find_spec(module) is None]
# One at a time, so a package that fails to install does not block the others
for _pip in _missing:
%pip install -q {_pip}
if not _missing:
print("\u2713 All required packages are installed")
import numpy as np
n_qubits = 8
n_orb = n_qubits // 2
rand_seed = 22
np.random.seed(rand_seed)
# Generate some random bitstrings for testing
def random_bitstrings(n_samples, n_qubits):
return (
np.round(np.random.rand(n_samples, n_qubits))
.astype("int")
.astype("bool")
)
bitstring_matrix = random_bitstrings(100, n_qubits)
The excitation operators are specified inside a numpy array whose length is equal to the number of fermionic nodes (or qubits). Each element of the array must be a string that can take values:
'I': Identity'+': Creation operator'-': Annihilation operator
We generate all possible single-electron transitions (amongst same spin species).
transitions_single = np.array(
[
["I" for i in range(2 * n_orb)]
for j in range(4 * (n_orb**2 - n_orb) // 2 + 1)
]
)
count = 1
for i in range(n_orb):
for j in range(i + 1, n_orb):
# spin up
transitions_single[count, i] = "+"
transitions_single[count, j] = "-"
count += 1
transitions_single[count, i] = "-"
transitions_single[count, j] = "+"
count += 1
# spin down
transitions_single[count, i + n_orb] = "+"
transitions_single[count, j + n_orb] = "-"
count += 1
transitions_single[count, i + n_orb] = "-"
transitions_single[count, j + n_orb] = "+"
count += 1
print(transitions_single)
[['I' 'I' 'I' 'I' 'I' 'I' 'I' 'I']
['+' '-' 'I' 'I' 'I' 'I' 'I' 'I']
['-' '+' 'I' 'I' 'I' 'I' 'I' 'I']
['I' 'I' 'I' 'I' '+' '-' 'I' 'I']
['I' 'I' 'I' 'I' '-' '+' 'I' 'I']
['+' 'I' '-' 'I' 'I' 'I' 'I' 'I']
['-' 'I' '+' 'I' 'I' 'I' 'I' 'I']
['I' 'I' 'I' 'I' '+' 'I' '-' 'I']
['I' 'I' 'I' 'I' '-' 'I' '+' 'I']
['+' 'I' 'I' '-' 'I' 'I' 'I' 'I']
['-' 'I' 'I' '+' 'I' 'I' 'I' 'I']
['I' 'I' 'I' 'I' '+' 'I' 'I' '-']
['I' 'I' 'I' 'I' '-' 'I' 'I' '+']
['I' '+' '-' 'I' 'I' 'I' 'I' 'I']
['I' '-' '+' 'I' 'I' 'I' 'I' 'I']
['I' 'I' 'I' 'I' 'I' '+' '-' 'I']
['I' 'I' 'I' 'I' 'I' '-' '+' 'I']
['I' '+' 'I' '-' 'I' 'I' 'I' 'I']
['I' '-' 'I' '+' 'I' 'I' 'I' 'I']
['I' 'I' 'I' 'I' 'I' '+' 'I' '-']
['I' 'I' 'I' 'I' 'I' '-' 'I' '+']
['I' 'I' '+' '-' 'I' 'I' 'I' 'I']
['I' 'I' '-' '+' 'I' 'I' 'I' 'I']
['I' 'I' 'I' 'I' 'I' 'I' '+' '-']
['I' 'I' 'I' 'I' 'I' 'I' '-' '+']]
Now we apply the transition operators to the configurations in bitstring_matrix:
from qiskit_addon_sqd.fermion import enlarge_batch_from_transitions
bitstring_matrix_aug = enlarge_batch_from_transitions(
bitstring_matrix, transitions_single
)
print(bitstring_matrix_aug.shape)
print(bitstring_matrix_aug)
(723, 8)
[[False False False ... False False True]
[False True False ... True False False]
[ True True True ... True False True]
...
[ True False True ... False False True]
[ True True True ... True False True]
[False False False ... False False True]]