55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
|
import timeit
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
from pyqcs.gates.gate import BuiltinGate
|
||
|
|
|
||
|
|
cl_state = np.zeros(10, dtype=np.int8)
|
||
|
|
qm_state = np.zeros(2**10, dtype=np.cdouble)
|
||
|
|
qm_state[0] = 1
|
||
|
|
|
||
|
|
gate_uf = BuiltinGate('X', 0, 0, 0.0)
|
||
|
|
|
||
|
|
print("running benchmarks ...", end="", flush=True)
|
||
|
|
|
||
|
|
time_uf = timeit.repeat("result_uf = gate_uf(qm_state, cl_state)"
|
||
|
|
, setup="import numpy as np;"
|
||
|
|
"from pyqcs.gates.gate import BuiltinGate;"
|
||
|
|
"cl_state = np.zeros(10, dtype=np.int8);"
|
||
|
|
"qm_state = np.zeros(2**10, dtype=np.cdouble);"
|
||
|
|
"qm_state[0] = 1;"
|
||
|
|
"gate_uf = BuiltinGate('X', 0, 0, 0.0);"
|
||
|
|
, repeat=5
|
||
|
|
, number=1_000_000
|
||
|
|
)
|
||
|
|
|
||
|
|
time_py = timeit.repeat("result_py = np.zeros(2**10, dtype=np.cdouble);"
|
||
|
|
"result_py[0::2] = qm_state[1::2];"
|
||
|
|
"result_py[1::2] = qm_state[0::2];"
|
||
|
|
"cl_py = np.zeros(10, dtype=np.int8)"
|
||
|
|
, setup="import numpy as np;"
|
||
|
|
"qm_state = np.zeros(2**10, dtype=np.cdouble);"
|
||
|
|
"qm_state[0] = 1;"
|
||
|
|
, repeat=5
|
||
|
|
, number=1_000_000
|
||
|
|
)
|
||
|
|
print(" done")
|
||
|
|
|
||
|
|
print("running test ...", end="", flush=True)
|
||
|
|
result_uf, cl, m = gate_uf(qm_state, cl_state);
|
||
|
|
|
||
|
|
result_py = np.zeros(2**10, dtype=np.cdouble)
|
||
|
|
cl_py = np.zeros(10, dtype=np.int8)
|
||
|
|
result_py[0::2] = qm_state[1::2]
|
||
|
|
result_py[1::2] = qm_state[0::2]
|
||
|
|
|
||
|
|
assert np.allclose(result_py, result_uf)
|
||
|
|
print(" done")
|
||
|
|
|
||
|
|
|
||
|
|
best_uf = min(time_uf) / 1_000_000
|
||
|
|
best_py = min(time_py) / 1_000_000
|
||
|
|
|
||
|
|
print("time for ufunc gate (best out of 5, 1_000_000 runs):", best_uf)
|
||
|
|
print("time for python gate (best out of 5, 1_000_000 runs):", best_py)
|