if __name__ == '__main__':
n = 2
f = lambda rep: rep[-1]
# f = lambda rep: "1" if rep[0:2] == "01" or rep[0:2] == "10" else "0"
# f = lambda rep: "0"
prog = make_circuit(n, f)
sample_shot =2800
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q')
provider.backends()
backend = provider.get_backend("ibmq_belem")
circuit1 = transpile(prog,FakeVigo())
circuit1.x(qubit=3)
circuit1.x(qubit=3)
circuit1.measure_all()
prog = circuit1
info = execute(prog, backend=backend, shots=sample_shot).result().get_counts()
writefile = open("../data/startQiskit_QC92.csv","w")
print(info,file=writefile)
print("results end", file=writefile)
print(circuit1.depth(),file=writefile)
print(circuit1,file=writefile)
writefile.close()
prog.measure(input_qubit[i], classical[i])
return prog
if __name__ == '__main__':
a = "111"
b = "0"
f = lambda rep: bitwise_xor(bitwise_dot(a, rep), b)
prog = make_circuit(4, f)
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q')
provider.backends()
backend = least_busy(
provider.backends(
filters=lambda x: x.configuration().n_qubits >= 2 and not x.
configuration().simulator and x.status().operational == True))
sample_shot = 8000
info = execute(prog, backend=backend,
shots=sample_shot).result().get_counts()
backend = FakeVigo()
circuit1 = transpile(prog, backend, optimization_level=2)
writefile = open("../data/startQiskit_QC2414.csv", "w")
print(info, file=writefile)
print("results end", file=writefile)
print(circuit1.__len__(), file=writefile)
print(circuit1, file=writefile)
writefile.close()
if __name__ == "__main__":
n = 2
a = "11"
b = "1"
f = lambda rep: \
bitwise_xor(bitwise_dot(a, rep), b)
prog = build_circuit(n, f)
sample_shot = 4000
writefile = open("../data/startQiskit_QC195.csv", "w")
# prog.draw('mpl', filename=(kernel + '.png'))
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q')
provider.backends()
backend = provider.get_backend("ibmq_belem")
circuit1 = transpile(prog, FakeYorktown())
circuit1.h(qubit=2)
circuit1.x(qubit=3)
circuit1.measure_all()
info = execute(circuit1, backend=backend,
shots=sample_shot).result().get_counts()
print(info, file=writefile)
print("results end", file=writefile)
print(circuit1.depth(), file=writefile)
print(circuit1, file=writefile)
writefile.close()
def randomize(qpu_name, num_of_qubits, shots, min_depth_of_circuit,
max_depth_of_circuit, num_of_circuits, token):
"""Create randomized circuits with given properties and jobs to run them on IBM backends."""
sim_name = 'ibmq_qasm_simulator'
backend_sim = ibmq_handler.get_qpu(token, sim_name)
backend_real = ibmq_handler.get_qpu(token, qpu_name)
locations = []
# create the given number of circuits of given width and depth
for i in range(min_depth_of_circuit, max_depth_of_circuit + 1):
for j in range(num_of_circuits):
rowcount = db.session.query(Benchmark).count()
benchmark_id = rowcount // 2
# create randomized circuits and transpile them for both backends
qx = random_circuit(num_qubits=num_of_qubits,
depth=i,
measure=True)
original_number_of_multi_qubit_gates = qx.num_nonlocal_gates()
qcircuit_sim = transpile(qx,
backend=backend_sim,
optimization_level=3)
qcircuit_real = transpile(qx,
backend=backend_real,
optimization_level=3)
# ensure that the width of the circuit is correctly saved in the db
remove_final_meas = RemoveFinalMeasurements()
active_qubits_real = [
qubit for qubit in qcircuit_real.qubits
if qubit not in remove_final_meas.run(
circuit_to_dag(qcircuit_real)).idle_wires()
]
transpiled_depth_sim = qcircuit_sim.depth()
transpiled_width_sim = qcircuit_sim.num_qubits
transpiled_number_of_multi_qubit_gates_sim = qcircuit_sim.num_nonlocal_gates(
)
transpiled_depth_real = qcircuit_real.depth()
transpiled_width_real = len(active_qubits_real)
transpiled_number_of_multi_qubit_gates_real = qcircuit_real.num_nonlocal_gates(
)
location_sim = run(circuit=qcircuit_sim,
backend=sim_name,
token=token,
shots=shots,
benchmark_id=benchmark_id,
original_depth=i,
original_width=num_of_qubits,
original_number_of_multi_qubit_gates=
original_number_of_multi_qubit_gates,
transpiled_depth=transpiled_depth_sim,
transpiled_width=transpiled_width_sim,
transpiled_number_of_multi_qubit_gates=
transpiled_number_of_multi_qubit_gates_sim)
location_real = run(circuit=qcircuit_real,
backend=qpu_name,
token=token,
shots=shots,
benchmark_id=benchmark_id,
original_depth=i,
original_width=num_of_qubits,
original_number_of_multi_qubit_gates=
original_number_of_multi_qubit_gates,
transpiled_depth=transpiled_depth_real,
transpiled_width=transpiled_width_real,
transpiled_number_of_multi_qubit_gates=
transpiled_number_of_multi_qubit_gates_real)
location_benchmark = '/qiskit-service/api/v1.0/benchmarks/' + str(
benchmark_id)
locations.append({
'result-simulator': str(location_sim),
'result-real-backend': str(location_real),
'result-benchmark': str(location_benchmark)
})
return locations
prog.x(input_qubit[0]) # number=19
prog.x(input_qubit[0]) # number=20
# circuit end
return prog
if __name__ == '__main__':
prog = make_circuit(1)
backend = BasicAer.get_backend('statevector_simulator')
sample_shot = 1974
info = execute(prog, backend=backend).result().get_statevector()
qubits = round(log2(len(info)))
info = {
np.binary_repr(i, qubits): round(
(info[i] * (info[i].conjugate())).real, 3)
for i in range(2**qubits)
}
backend = FakeVigo()
circuit1 = transpile(prog, backend)
writefile = open("../data/startQiskit_Class381.csv", "w")
print(info, file=writefile)
print("results end", file=writefile)
print(circuit1.depth(), file=writefile)
print(circuit1, file=writefile)
writefile.close()
import matplotlib.pyplot as plt
simulator = Aer.get_backend('qasm_simulator')
circuit = QuantumCircuit(3, 3)
circuit.x(0)
circuit.x(1)
circuit.x(2)
circuit.barrier()
circuit.x(0)
circuit.cnot(0, 2)
circuit.x(0)
circuit.barrier()
# Map the quantum measurement to the classical bits
circuit.measure([0, 1, 2], [2, 1, 0])
compiled_circuit = transpile(circuit, simulator)
job = simulator.run(compiled_circuit, shots=1000)
result = job.result()
counts = result.get_counts(circuit)
print(circuit)
plot_histogram(counts)
plt.show()