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IBM C1000-112 Exam Syllabus Topics:

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

1. Predict the output of the average_gate_fidelity, process_fidelity of the below snippet:
a = Operator(XGate())
b = np.exp(1j /3) * a
average_gate_fidelity(a,b)
process_fiedlity(a,b)

A) average_gate_fidelity will be 1.0 and process_fidelity will be 1.0
B) average_gate_fidelity will be 1.0 and process_fidelity will be 0.5
C) average_gate_fidelity will be 0 and process_fidelity will be 0.5
D) average_gate_fidelity will be 0.5 and process_fidelity will be 1.0

2. Choose what value the below circuit will return?
q = QuantumRegister(2,'q')
qc = QuantumCircuit(q)
qc.h(q[0:2])

A) Error
B)

C) {'00':25, '01':23, '10':26 '11': 26}
D) [0.7071 0.701 0.701 0.701]

3. In the below QuantumCircuit, how many Qubits are there?
bob = QuantumRegister(8,'b')
alice = ClassicalRegister(2,'a')
eve = QuantumRegister(4,'e')
qc = QuantumCircuit(bob,alice,eve)

A) 12
B) 4
C) 8
D) 14

4. When applying a CNOT gate to two qubits, which qubit acts as the control and which one acts as the target?

A) It doesn't matter, as the CNOT gate is symmetric
B) The first qubit is the control, and the second qubit is the target
C) The second qubit is the control, and the first qubit is the target
D) Both qubits simultaneously act as control and target

5. What will be the output for the below snippet?
q = QuantumRegister(2,"qreg")
c = ClassicalRegister(2,"creg")
qc = QuantumCircuit(q,c)
qc.x(q[0])
qc2.measure(q,c)
job = execute(qc2,Aer.get_backend('qasm_simulator'),shots=1024)
counts = job.result().get_counts(qc2)
print(counts)

A) {'11': 1024}
B) {'10': 1024}
C) {'01': 1024}
D) {'00':1024 }

Solutions: