def randBits(bits):
number = 0
for i in range(bits):
bit = simulate(qc, shots=1, get='memory')
if bit[0][0] == '1':
number += 2**i
return number
def b_measure(self, qc):
bob_base = random.choice("zx") #bob picks a random basis to measure his qubit
self.bob_bases.append(bob_base)
if bob_base == 'x': qc.h(0) #coverts to x basis: H|+> = |0>, H|+> = |1> (and vice versa)
qc.measure(0,0)
counts = simulate(qc, shots=1)
result = '1' in counts
if random.random() < self.e_m: result = not(result) #does the wrong measurement with probability e_m
self.bob_bits.append(int(result)) #stores the result
def randGen():
digits = []
for _ in range(3):
counts = simulate(qc, shots=1, get='memory')
digits += counts
BinString = ''.join(digits)
BinNum = int(BinString, 2)
return BinNum
def qRand(nMsrmnts):
results = []
for i in range(nMsrmnts):
results += simulate(qc, 1, '')[0]
binary = ''
for i in range(len(results)):
binary += results[i]
decimal = int(binary, 2)
return decimal
def circuit_to_height(qc):
n = qc._n
line = make_line(2**n)
real_vec = simulate(qc, get='statevector')
height = [0] * (2**n)
for j, amp in enumerate(real_vec):
string = "{0:b}".format(j)
string = '0' * (n - len(string)) + string
k = line.index(string)
height[k] = amp[0]**2
max_prob = max(height)
for j, h in enumerate(height):
height[j] = h / max_prob
return height
def get_brightness(x, y, qc, seed):
qc.data.clear() # empty the circuit
# perform rotations whose angles depend on x and y
qc.rx((1 / 8) * (seed[0] * x - seed[1] * y) * pi, 0)
qc.ry((1 / 8) * (seed[2] * x + seed[3] * y**2) * pi + pi, 0)
# calculate probability for outcome 1
qc.measure(0, 0)
p = simulate(qc, shots=1000, get='counts')['1'] / 1000
# return brightness depending on this probability
# the chosen values here are fairly arbitrary
if p > 0.7:
if p < 0.8:
return 1
elif p < 0.9:
return 2
else:
return 3
else:
return 0
def _circuit2probs(qc):
"""
Runs the given circuit, and returns the resulting probabilities.
"""
if simple_python:
probs = simulate(qc, get='probabilities_dict')
else:
# separate circuit and initialization
new_qc = qc.copy()
new_qc.data = []
initial_ket = [1]
for gate in qc.data:
if gate[0].name == 'initialize':
initial_ket = _kron(initial_ket, gate[0].params)
else:
new_qc.data.append(gate)
# then run it
ket = quantum_info.Statevector(initial_ket)
ket = ket.evolve(new_qc)
probs = ket.probabilities_dict()
return probs
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
import pew
from microqiskit import QuantumCircuit, simulate
qc = QuantumCircuit(1, 1)
qc.h(0)
qc.measure(0, 0)
counts = simulate(qc, 1, '')
def qRand(nMsrmnts):
results = []
for i in range(nMsrmnts):
results += simulate(qc, 1, '')[0]
binary = ''
for i in range(len(results)):
binary += results[i]
decimal = int(binary, 2)
return decimal
for (X, Y) in [(1, 4), (6, 4)]:
screen.pixel(X, Y, 0) # turn off the center pixels of the squares
old_keys = 0
while True: # loop which checks for user input and responds
# look for and act upon key presses
keys = pew.keys() # get current key presses
if keys != 0 and keys != old_keys:
if keys & pew.K_O:
qc.cx(1, 0)
old_keys = keys
# execute the circuit and get a single sample of memory for the given measurement bases
m = simulate(qc + meas, shots=1, get='memory')
# turn the pixels (1,2) and (1,4) (depending on basis[1]) on or off (depending on m[0][0])
if m[0][0] == '1':
screen.pixel(6, 4, 3)
else:
screen.pixel(6, 4, 0)
# do the same for pixels (6,2) and (6,4)
if m[0][1] == '1':
screen.pixel(1, 4, 3)
int(instruct[i + 3]))
if instruct[i] == "crx":
qc.crx(float(instruct[i + 1]), int(instruct[i + 2]),
int(instruct[i + 3]))
if instruct[i] == "m":
try:
if instruct[i + 1] == ".":
for j in range(qn):
qc.measure(j, j)
else:
qc.measure(int(instruct[i + 1]), int(instruct[i + 1]))
except Exception as e:
print(
"Instruction of measurement is Invalid. Please check the measurement:",
e)
else:
continue
result = ""
if prob:
result = mq.simulate(qc, get="probabilities_dict")
elif state:
result = mq.simulate(qc, get="statevector")
else:
result = mq.simulate(qc)
print(result)
except:
print("Invalid instruction arguments. Please Check the arguments")
