from IPython.display import Image
Image("images/F2.png",width=400)
Image("images/dieti.png",width=150)
from qiskit import *
from qiskit.visualization import plot_histogram, plot_bloch_vector, plot_bloch_multivector, circuit_drawer
from qiskit_textbook.widgets import plot_bloch_vector_spherical
from math import sqrt, pi
from IPython.display import display, Math, Latex
%config InlineBackend.figure_format = 'svg' # Makes the images look nice
n=2
qc = QuantumCircuit(n,n) # Create a quantum circuit with one qubit
backend = Aer.get_backend('statevector_simulator') # Tell Qiskit how to simulate our circuit
qc.x(0) #Apply X-gate
qc.x(1) #Apply X-gate
qc.h(0) #Apply Hadamard-gate
qc.h(1) #Apply Hadamard-gate
qc.draw(output='mpl')
def one(): #Constant function
qc.id(0)
qc.id(1)
return
def two(): #NON constant function
qc.cx(0,1)
return
def three(): #NON constant function
qc.id(0)
qc.x(1)
qc.cx(0,1)
return
def four(): #Constant function
qc.id(0)
qc.x(1)
return
fun = 3
if fun == 1:
one()
elif fun == 2:
two()
elif fun==3:
three()
elif fun==4:
four()
qc.draw(output='mpl')
qc.h(0) #Apply Hadamard-gate
qc.i(1) #Apply Hadamard-gate
qc.draw(output='mpl')
qc.measure(0,0)
qc.measure(1,1)
qc.draw(output='mpl')
counts = execute(qc,Aer.get_backend('qasm_simulator'),shots=1000).result().get_counts()
plot_histogram(counts)
David Deutsch & Richard Jozsa (1992). "Rapid solutions of problems by quantum computation". Proceedings of the Royal Society of London A. 439 (1907): 553–558. doi:10.1098/rspa.1992.0167.
N. David Mermin "Quantum Computer Science (An Introduction)", Cambridge (2007)
Qiskit: An Open-source Framework for Quantum Computing (2019), doi:10.5281/zenodo.2562110