from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('one-two-three-v2_100', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('one-two-three-v2_100', platform)
k.gate('x', 0)
k.gate('cnot', 4, 1)
k.gate('cnot', 2, 0)
k.gate('h', 2)
k.gate('t', 1)
k.gate('t', 3)
k.gate('t', 2)
k.gate('cnot', 3, 1)
k.gate('cnot', 2, 3)
k.gate('cnot', 1, 2)
k.gate('tdag', 3)
k.gate('cnot', 1, 3)
k.gate('tdag', 1)
k.gate('tdag', 3)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('alu-v4_36', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('alu-v4_36', platform)
k.gate('h', 1)
k.gate('t', 2)
k.gate('t', 0)
k.gate('t', 1)
k.gate('cnot', 0, 2)
k.gate('cnot', 1, 0)
k.gate('cnot', 2, 1)
k.gate('tdag', 0)
k.gate('cnot', 2, 0)
k.gate('tdag', 2)
k.gate('tdag', 0)
k.gate('t', 1)
k.gate('cnot', 1, 0)
k.gate('cnot', 2, 1)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 10
p = ql.Program('benstein_vazirani_8b_secret_128', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('benstein_vazirani_8b_secret_128', platform)
k.gate('prepx',8)
k.gate('x',8)
k.gate('h',0)
k.gate('h',1)
k.gate('h',2)
k.gate('h',3)
k.gate('h',4)
k.gate('h',5)
k.gate('h',6)
k.gate('h',7)
k.gate('h',8)
k.gate('cnot',7y)
k.gate('h',0)
k.gate('h',1)
k.gate('h',2)
k.gate('h',3)
k.gate('h',4)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 5
p = ql.Program('4mod5-v0_20', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('4mod5-v0_20', platform)
k.gate('cnot',3,1)
k.gate('x',0)
k.gate('cnot',0,2)
k.gate('cnot',2,1)
k.gate('h',4)
k.gate('t',2)
k.gate('t',1)
k.gate('t',4)
k.gate('cnot',1,2)
k.gate('cnot',4,1)
k.gate('cnot',2,4)
k.gate('tdag',1)
k.gate('cnot',2,1)
k.gate('tdag',2)
k.gate('tdag',1)
k.gate('t',4)
k.gate('cnot',4,1)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 16
p = ql.Program('cnt3-5_179', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('cnt3-5_179', platform)
k.gate('cnot', 12, 15)
k.gate('h', 12)
k.gate('t', 14)
k.gate('t', 13)
k.gate('t', 12)
k.gate('cnot', 13, 14)
k.gate('cnot', 12, 13)
k.gate('cnot', 14, 12)
k.gate('tdag', 13)
k.gate('cnot', 14, 13)
k.gate('tdag', 14)
k.gate('tdag', 13)
k.gate('t', 12)
k.gate('cnot', 12, 13)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 62
p = ql.Program('vbeAdder_20b', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('vbeAdder_20b', platform)
k.gate('toffoli',1b1,c1)
k.gate('cnot',1b1)
k.gate('toffoli',0b1,c1)
k.gate('toffoli',4b2,c2)
k.gate('cnot',4b2)
k.gate('toffoli',3b2,c2)
k.gate('toffoli',7b3,c3)
k.gate('cnot',7b3)
k.gate('toffoli',6b3,c3)
k.gate('toffoli',10b4,c4)
k.gate('cnot',10b4)
k.gate('toffoli',9b4,c4)
k.gate('toffoli',13b5,c5)
k.gate('cnot',13b5)
k.gate('toffoli',12b5,c5)
k.gate('toffoli',16b6,c6)
k.gate('cnot',16b6)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 6
p = ql.Program('4gt4-v0_73', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('4gt4-v0_73', platform)
k.gate('cnot', 0, 1)
k.gate('cnot', 2, 1)
k.gate('cnot', 1, 2)
k.gate('cnot', 3, 2)
k.gate('cnot', 2, 3)
k.gate('cnot', 4, 3)
k.gate('cnot', 3, 4)
k.gate('cnot', 4, 3)
k.gate('cnot', 4, 2)
k.gate('cnot', 4, 1)
k.gate('cnot', 4, 0)
k.gate('h', 5)
k.gate('t', 0)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('4_49_16', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('4_49_16', platform)
k.gate('h', 1)
k.gate('t', 3)
k.gate('t', 4)
k.gate('t', 1)
k.gate('cnot', 4, 3)
k.gate('cnot', 1, 4)
k.gate('cnot', 3, 1)
k.gate('tdag', 4)
k.gate('cnot', 3, 4)
k.gate('tdag', 3)
k.gate('tdag', 4)
k.gate('t', 1)
k.gate('cnot', 1, 4)
k.gate('cnot', 3, 1)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('alu-v1_29', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('alu-v1_29', platform)
k.gate('cnot', 3, 4)
k.gate('x', 3)
k.gate('cnot', 1, 2)
k.gate('h', 1)
k.gate('t', 3)
k.gate('t', 2)
k.gate('t', 1)
k.gate('cnot', 2, 3)
k.gate('cnot', 1, 2)
k.gate('cnot', 3, 1)
k.gate('tdag', 2)
k.gate('cnot', 3, 2)
k.gate('tdag', 3)
k.gate('tdag', 2)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 6
p = ql.Program('ex1_226', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('ex1_226', platform)
k.gate('cnot', 3, 0)
k.gate('cnot', 1, 0)
k.gate('cnot', 5, 0)
k.gate('x', 2)
k.gate('cnot', 2, 0)
k.gate('x', 4)
k.gate('cnot', 4, 0)
p.add_kernel(k)
p.compile(optimize=False)
def QPD():
'''
w2di = Image.open("/mnt/7A06EEA206EE5E9F/GoogleDrive/TUD_CE/Thesis/SimQG/QuInE/examples/qtm_a2/panda18.png")
w2d = w2di.convert('RGBA')
wbw = w2d
for i in range(0,w2d.size[0]):
for j in range(0,w2d.size[1]):
if w2d.getpixel((i,j))[3] == 0: # Set transparent to white
wbw.putpixel((i,j),(255,255,255))
elif w2d.getpixel((i,j))[0] > 150:
wbw.putpixel((i,j),(255,255,255))
else:
wbw.putpixel((i,j),(0,0,0))
wbw.save("/mnt/7A06EEA206EE5E9F/GoogleDrive/TUD_CE/Thesis/SimQG/QuInE/examples/qtm_a2/panda18bw.png")
'''
A = 2 # Binary Alphabet {0,1} := {(0,0,0),(255,255,255)} Black and White Image
D = 2
w2di = Image.open(
"/mnt/7A06EEA206EE5E9F/GoogleDrive/TUD_CE/Thesis/SimQG/QuInE/examples/qtm_a2/panda18bw.png"
)
w2d = w2di.convert('RGB')
N0 = w2di.size[0]
N1 = w2di.size[1]
'''
for Msz in range(1,20):
M0 = Msz
M1 = Msz
Q_tag = ceil(log2(N0-M0+1)) + ceil(log2(N1-M1+1))
Q_data = ceil(log2(A)) * M0 * M1
Q_anc = 1
print([Msz,Q_tag+Q_data+Q_anc])
# Template Size vs Total Qubits: [1, 14],[2, 17],[3, 22],[4, 29],[5, 38],[6, 49],[7, 62]
'''
'''
M0 = 3
M1 = 3
idx0 = 9 # Expected Answer i_0
idx1 = 8 # Expected Answer i_1
p2d = w2d.crop((idx0,idx1,idx0+M0,idx1+M1))
p2d.save("/mnt/7A06EEA206EE5E9F/GoogleDrive/TUD_CE/Thesis/SimQG/QuInE/examples/qtm_a2/panda_p.png")
ans = w2d
for i in range(idx0,idx0+M0):
for j in range(idx1,idx1+M1):
if ans.getpixel((i,j))[0] == 255:
ans.putpixel((i,j),(0,255,0))
else:
ans.putpixel((i,j),(255,0,0))
ans.save("/mnt/7A06EEA206EE5E9F/GoogleDrive/TUD_CE/Thesis/SimQG/QuInE/examples/qtm_a2/answer.png")
'''
p2di = Image.open(
"/mnt/7A06EEA206EE5E9F/GoogleDrive/TUD_CE/Thesis/SimQG/QuInE/examples/qtm_a2/panda_p.png"
)
p2d = p2di.convert('RGB')
M0 = p2di.size[0]
M1 = p2di.size[1]
Q_tag = ceil(log2(N0 - M0 + 1)) + ceil(log2(N1 - M1 + 1))
Q_data = ceil(log2(A)) * M0 * M1
Q_anc = 1
anc = Q_tag + Q_data
config_fn = os.path.join('gateConfig.json')
platform = ql.Platform('platform_none', config_fn)
Q_total = Q_tag + Q_data + Q_anc
prog = ql.Program('qg', Q_total, platform)
# Kernel 1: Construct Quantum Phone Directory
qk1 = ql.Kernel('QCirc1', platform)
Circ1(qk1, w2d, N0, N1, M0, M1, Q_total, Q_tag, Q_data, anc)
# Kernel 2: Calculate Hamming Distance
qk2 = ql.Kernel('QCirc2', platform)
Circ2(qk2, p2d, M0, M1, Q_tag)
# Kernel 3: Oracle to Mark Hamming Distance of 0
qk3 = ql.Kernel('QCirc3', platform)
Circ3(qk3, Q_tag, Q_data)
# Kernel 4: Amplitude Amplification
qk4 = ql.Kernel('QCirc4', platform)
Circ4(qk4, Q_tag, Q_data, Q_anc)
# Kernel 5: Partial Amplitude Amplification
qk5 = ql.Kernel('QCirc5', platform)
Circ5(qk5, Q_tag, Q_data, Q_anc)
prog.add_kernel(qk1)
prog.add_kernel(qk2)
for i in range(0, 1): # Optimal iteration from calculation is 111
prog.add_kernel(qk3)
prog.add_kernel(qk5)
prog.add_kernel(qk3)
prog.add_kernel(qk4)
prog.compile(False, "ASAP", False)
display()
# Quantum Shor Code
from openql import openql as ql
import os
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'cqasm_files')
ql.set_option('output_dir', output_dir)
ql.set_option('write_qasm_files', 'yes')
config_fn = os.path.join(curdir, 'config_qx.json')
platform = ql.Platform('platform_none', config_fn)
num_qubits = 9
p = ql.Program('exercise_qasm_008', platform, num_qubits)
k1 = ql.Kernel("initialize", platform, num_qubits)
for i in range(0, num_qubits):
k1.gate('prep_z', [i]) # Initialize all qubits to |0>
k1.gate('rx', [0], 0, 1.3) # Create a arbitrary state
k1.gate('ry', [0], 0, 0.3) # Create a arbitrary state
k1.display()
p.add_kernel(k1)
k2 = ql.Kernel("phase_encode", platform, num_qubits)
k2.gate('cnot', [0,3])
k2.gate('cnot', [0,6])
k2.gate('h', [0])
k2.gate('h', [3])
k2.gate('h', [6])
k2.display()
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 11
p = ql.Program('wim_266', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('wim_266', platform)
k.gate('x', 6)
k.gate('x', 5)
k.gate('x', 4)
k.gate('x', 2)
k.gate('x', 1)
k.gate('x', 0)
k.gate('x', 10)
k.gate('h', 5)
k.gate('t', 7)
k.gate('t', 6)
k.gate('t', 5)
k.gate('cnot', 6, 7)
k.gate('cnot', 5, 6)
k.gate('cnot', 7, 5)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('mod5d1_63', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('mod5d1_63', platform)
k.gate('cnot', 3, 1)
k.gate('cnot', 2, 0)
k.gate('cnot', 1, 4)
k.gate('cnot', 0, 4)
k.gate('h', 4)
k.gate('t', 1)
k.gate('t', 0)
k.gate('t', 4)
k.gate('cnot', 0, 1)
k.gate('cnot', 4, 0)
k.gate('cnot', 1, 4)
k.gate('tdag', 0)
k.gate('cnot', 1, 0)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 5
p = ql.Program('4mod7-v1_96', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('4mod7-v1_96', platform)
k.gate('x',0)
k.gate('x',0)
k.gate('h',0)
k.gate('t',4)
k.gate('t',1)
k.gate('t',0)
k.gate('cnot',1,4)
k.gate('cnot',0,1)
k.gate('cnot',4,0)
k.gate('tdag',1)
k.gate('cnot',4,1)
k.gate('tdag',4)
k.gate('tdag',1)
k.gate('t',0)
k.gate('cnot',0,1)
k.gate('cnot',4,0)
k.gate('cnot',1,4)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 7
p = ql.Program('ex2_227', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('ex2_227', platform)
k.gate('h', 0)
k.gate('t', 2)
k.gate('t', 6)
k.gate('t', 0)
k.gate('cnot', 6, 2)
k.gate('cnot', 0, 6)
k.gate('cnot', 2, 0)
k.gate('tdag', 6)
k.gate('cnot', 2, 6)
k.gate('tdag', 2)
k.gate('tdag', 6)
k.gate('t', 0)
k.gate('cnot', 0, 6)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('4gt13-v1_93', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('4gt13-v1_93', platform)
k.gate('x', 0)
k.gate('cnot', 4, 0)
k.gate('cnot', 0, 4)
k.gate('h', 4)
k.gate('t', 1)
k.gate('t', 0)
k.gate('t', 4)
k.gate('cnot', 0, 1)
k.gate('cnot', 4, 0)
k.gate('cnot', 1, 4)
k.gate('tdag', 0)
k.gate('cnot', 1, 0)
k.gate('tdag', 1)
k.gate('tdag', 0)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 10
p = ql.Program('mini_alu_305', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('mini_alu_305', platform)
k.gate('x', 6)
k.gate('x', 7)
k.gate('x', 8)
k.gate('h', 4)
k.gate('t', 1)
k.gate('t', 2)
k.gate('t', 4)
k.gate('cnot', 2, 1)
k.gate('cnot', 4, 2)
k.gate('cnot', 1, 4)
k.gate('tdag', 2)
k.gate('cnot', 1, 2)
k.gate('tdag', 1)
k.gate('tdag', 2)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('mod5mils_65', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('mod5mils_65', platform)
k.gate('cnot', 1, 3)
k.gate('x', 3)
k.gate('h', 4)
k.gate('t', 3)
k.gate('t', 0)
k.gate('t', 4)
k.gate('cnot', 0, 3)
k.gate('cnot', 4, 0)
k.gate('cnot', 3, 4)
k.gate('tdag', 0)
k.gate('cnot', 3, 0)
k.gate('tdag', 3)
k.gate('tdag', 0)
k.gate('t', 4)
def QPM():
A = 4
N = 8 # Reference Genome size
w = "22013220" # 22013200 #randStr(2,N) # Reference Genome
M = 2 # Short Read size
p = "13" #randStr(2,M) # Short Read
s = ceil(log2(N-M))
print(s)
config_fn = os.path.join('gateConfig.json')
platform = ql.Platform('platform_none', config_fn)
total_qubits = 2*s*M-2
prog = ql.Program('qg', total_qubits, platform)
# Initialization
qk1 = ql.Kernel('QCirc1',platform)
Circ1(qk1,s,M)
prog.add_kernel(qk1)
# Oracle Kernels
qk2a = ql.Kernel('QCirc2a',platform)
qk2c = ql.Kernel('QCirc2c',platform)
qk2g = ql.Kernel('QCirc2g',platform)
qk2t = ql.Kernel('QCirc2t',platform)
# Grover Amplitude Amplification
qk3 = ql.Kernel('QCirc3',platform)
Circ3(qk3,s,M)
# WATSON : define custom gate from python code... not json...
# WATSON : get back display output in code
fa = []
fc = []
fg = []
ft = []
for wi in range(0,N):
if w[wi] == '0':
fa.append(True)
fc.append(False)
fg.append(False)
ft.append(False)
elif w[wi] == '1':
fa.append(False)
fc.append(True)
fg.append(False)
ft.append(False)
elif w[wi] == '2':
fa.append(False)
fc.append(False)
fg.append(True)
ft.append(False)
else:
fa.append(False)
fc.append(False)
fg.append(False)
ft.append(True)
print(w,p)
for pi in range(0,M):
if p[pi] == '0':
Circ2(qk2a,fa,s,pi*s,s*M)
prog.add_kernel(qk2a)
elif p[pi] == '1':
Circ2(qk2c,fc,s,pi*s,s*M)
prog.add_kernel(qk2c)
elif p[pi] == '2':
Circ2(qk2g,fg,s,pi*s,s*M)
prog.add_kernel(qk2g)
else:
Circ2(qk2t,ft,s,pi*s,s*M)
prog.add_kernel(qk2t)
# Reset Kernels
prog.add_kernel(qk3)
# Run multiple times to get average result
#qk4 = ql.Kernel('QCirc4',platform)
#qk4.measure(9)
#qk4.measure(8)
#qk4.measure(7)
#qk4.measure(6)
#prog.add_kernel(qk4)
prog.compile(False, "ASAP", False)
display()
#showQasm(1)
return
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 5
p = ql.Program('decod24-v3_45', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('decod24-v3_45', platform)
k.gate('x', 0)
k.gate('x', 1)
k.gate('h', 0)
k.gate('t', 1)
k.gate('t', 4)
k.gate('t', 0)
k.gate('cnot', 4, 1)
k.gate('cnot', 0, 4)
k.gate('cnot', 1, 0)
k.gate('tdag', 4)
k.gate('cnot', 1, 4)
k.gate('tdag', 1)
k.gate('tdag', 4)
k.gate('t', 0)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 12
p = ql.Program('cm152a_212', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('cm152a_212', platform)
k.gate('h', 0)
k.gate('t', 1)
k.gate('t', 11)
k.gate('t', 0)
k.gate('cnot', 11, 1)
k.gate('cnot', 0, 11)
k.gate('cnot', 1, 0)
k.gate('tdag', 11)
k.gate('cnot', 1, 11)
k.gate('tdag', 1)
k.gate('tdag', 11)
k.gate('t', 0)
k.gate('cnot', 0, 11)
k.gate('cnot', 1, 0)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 19
p = ql.Program('cuccaroAdder_8b', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('cuccaroAdder_8b', platform)
k.gate('cnot',1b0)
k.gate('cnot',1c0)
k.gate('toffoli',0b0,a0)
k.gate('cnot',3b1)
k.gate('cnot',3a0)
k.gate('toffoli',1b1,a1)
k.gate('cnot',5b2)
k.gate('cnot',5a1)
k.gate('toffoli',3b2,a2)
k.gate('cnot',7b3)
k.gate('cnot',7a2)
k.gate('toffoli',5b3,a3)
k.gate('cnot',9b4)
k.gate('cnot',9a3)
k.gate('toffoli',7b4,a4)
k.gate('cnot',11b5)
k.gate('cnot',11a4)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 13
p = ql.Program('squar5_261', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('squar5_261', platform)
k.gate('h', 5)
k.gate('t', 11)
k.gate('t', 10)
k.gate('t', 5)
k.gate('cnot', 10, 11)
k.gate('cnot', 5, 10)
k.gate('cnot', 11, 5)
k.gate('tdag', 10)
k.gate('cnot', 11, 10)
k.gate('tdag', 11)
k.gate('tdag', 10)
k.gate('t', 5)
k.gate('cnot', 5, 10)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 258
p = ql.Program('benstein_vazirani_256b_secret_32', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('benstein_vazirani_256b_secret_32', platform)
k.gate('prepx',256)
k.gate('x',256)
k.gate('h',0)
k.gate('h',1)
k.gate('h',2)
k.gate('h',3)
k.gate('h',4)
k.gate('h',5)
k.gate('h',6)
k.gate('h',7)
k.gate('h',8)
k.gate('h',9)
k.gate('h',10)
k.gate('h',11)
k.gate('h',12)
k.gate('h',13)
k.gate('h',14)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(
curdir,
'/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json'
)
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1, 2]
num_circuits = 1
num_qubits = 4
p = ql.Program('decod24-v0_38', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('decod24-v0_38', platform)
k.gate('h', 0)
k.gate('t', 3)
k.gate('t', 2)
k.gate('t', 0)
k.gate('cnot', 2, 3)
k.gate('cnot', 0, 2)
k.gate('cnot', 3, 0)
k.gate('tdag', 2)
k.gate('cnot', 3, 2)
k.gate('tdag', 3)
k.gate('tdag', 2)
k.gate('t', 0)
k.gate('cnot', 0, 2)
k.gate('cnot', 3, 0)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 5
p = ql.Program('alu-v0_26', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('alu-v0_26', platform)
k.gate('cnot',2,1)
k.gate('cnot',2,0)
k.gate('h',2)
k.gate('t',3)
k.gate('t',0)
k.gate('t',2)
k.gate('cnot',0,3)
k.gate('cnot',2,0)
k.gate('cnot',3,2)
k.gate('tdag',0)
k.gate('cnot',3,0)
k.gate('tdag',3)
k.gate('tdag',0)
k.gate('t',2)
k.gate('cnot',2,0)
k.gate('cnot',3,2)
k.gate('cnot',0,3)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 6
p = ql.Program('sf_274', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('sf_274', platform)
k.gate('h',4)
k.gate('t',2)
k.gate('t',5)
k.gate('t',4)
k.gate('cnot',5,2)
k.gate('cnot',4,5)
k.gate('cnot',2,4)
k.gate('tdag',5)
k.gate('cnot',2,5)
k.gate('tdag',2)
k.gate('tdag',5)
k.gate('t',4)
k.gate('cnot',4,5)
k.gate('cnot',2,4)
k.gate('cnot',5,2)
k.gate('h',4)
k.gate('h',5)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 45
p = ql.Program('benstein_vazirani_43b_secret_4', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('benstein_vazirani_43b_secret_4', platform)
k.gate('prepx',43)
k.gate('x',43)
k.gate('h',0)
k.gate('h',1)
k.gate('h',2)
k.gate('h',3)
k.gate('h',4)
k.gate('h',5)
k.gate('h',6)
k.gate('h',7)
k.gate('h',8)
k.gate('h',9)
k.gate('h',10)
k.gate('h',11)
k.gate('h',12)
k.gate('h',13)
k.gate('h',14)
from openql import openql as ql
import os
import numpy as np
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_output_dir(output_dir)
config_fn = os.path.join(curdir, '/home/daniel/Master/Quantum_Computing_and_Quantum_Information/OpenQL/tests/hardware_config_cc_light.json')
platform = ql.Platform('platform_none', config_fn)
sweep_points = [1,2]
num_circuits = 1
num_qubits = 7
p = ql.Program('cuccaroMultiplier_1b', num_qubits, platform)
p.set_sweep_points(sweep_points, num_circuits)
k = ql.Kernel('cuccaroMultiplier_1b', platform)
k.gate('prepx',2)
k.gate('prepx',3)
k.gate('prepx',4)
k.gate('prepx',5)
k.gate('toffoli',0a0,out0)
k.gate('cnot',1anc0)
k.gate('toffoli',5out0,a0)
k.gate('toffoli',0a0,out1)
k.gate('toffoli',5out0,a0)
k.gate('cnot',1anc0)
k.gate('toffoli',0anc0,out0)
p.add_kernel(k)
p.compile(optimize=False)
