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IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:

1. When executing experiments on real quantum hardware, what is a significant challenge that simulators help address?

A) Quantum hardware has limited connectivity between qubits
B) Quantum hardware lacks the capability to perform experiments
C) Quantum hardware cannot execute Grover's algorithm
D) Quantum hardware is affected by decoherence and errors

2. What will be the output of the result variable in the below snippet?
q = QuantumRegister(1,'q')
qc = QuantumCircuit(q)
qc.z(0)
backend_unitary = BasicAer.get_backend('unitary_simulator')
result = execute(qc,backend_unitary).result().get_unitary(decimals=3)

A)

B)

C)

D)

3. Which of these would execute a circuit on a set of qubits which are coupled in a custom way?
from qiskit import QuantumCircuit, execute, BasicAer
backend = BasicAer.get_backend('qasm_simulator')
qc = QuantumCircuit(2)
# insert code here

A) execute (qc, backend, mode="custom")
B) execute(qc, backend, shots=1024, device="qasm_simulator", mode="custom")
C) execute(qc, backend, shots=1024, custom_topology=[[0,1],[2,3]]
D) execute(qc, backend, shots=1024, coupling_map=[[0,1], [1,2]])

4. Which of the following missing statement return the depth of the following quantum circuit?
q = QuantumRegister(3)
c = ClassicalRegister(3)
qc = QuantumCircuit(q,c)
qc.h(q[0:3])
qc.x(q[0:3])
qc.z(q[0:3])
qc.draw(output='mpl')

### missing statement to return the depth of the circuit

A) qc.path()
B) qc.depth()
C) qc.size()
D) qc.depth_display()

5. We have two quantum circuits snippets and figures shown below:
qc = QuantumCircuit(3)
qc.h(0)
qc.z(0)
qc.x(1)
qc.cx(0,1)
qc.y(1)
qc.x(2)
qc.h(2)
qc.barrier()
qc.draw(output='mpl')

qft = QuantumCircuit(2)
qft.ry(math.pi / 2, 0)
qft.s(0)
qft.h(1)
qft.draw(output='mpl')

Out of the below-mentioned options, which option suits best for getting the below output of the circuit new_qc?

A)

B)

C)

D)

Solutions: