Tambah peralihan fermionik pada kumpulan konfigurasi
Di sini kami menunjukkan fungsi untuk menokok kumpulan konfigurasi elektronik yang diperoleh melalui tindakan operator peralihan ke atas setiap konfigurasi elektronik.
Kami menunjukkan cara menambah lompatan satu elektron berjenis:
untuk dan , dan untuk semua dalam kelompok konfigurasi elektronik. Kami bermula dengan menjana kelompok konfigurasi elektronik rawak:
# 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)
Operator pengujaan ditentukan di dalam tatasusunan numpy yang panjangnya sama dengan bilangan nod fermionik (atau qubit). Setiap elemen tatasusunan mestilah rentetan yang boleh mempunyai nilai:
-
'I': Identity -
'+': Operator penciptaan -
'-': Operator pemusnahan
Kami menjana semua peralihan satu elektron yang mungkin (antara spesies spin yang sama).
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' '-' '+']]
Sekarang kami menggunakan operator peralihan pada konfigurasi dalam 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]]