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

1. Given this code fragment, which output fits most closely with the measurement probability distribution?
qc = QuantumCircuit(2, 2)
qc.x(0)
qc.measure([0,1], [0,1])
simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator, shots=1000).result()
counts = result.get_counts(qc)
print(counts)

A) {'11': 1000}
B) {'01': 1000}
C) {'10': 1000}
D) {'00': 1000}

2. Which statement will create a quantum circuit with five quantum bits and seven classical bits?

A) QuantumCircuit(5,7)
B) QuantumCircuit([5, 7])
C)

D) QuantumCircuit(7)

3. Which Qiskit component is primarily focused on researching and improving quantum algorithms?

A) Qiskit Terra
B) Qiskit Aqua
C) Qiskit Aer
D) Qiskit Ignis

4. What is the primary goal of quantum error correction?

A) Minimizing errors caused by quantum decoherence
B) Enhancing quantum gate operations
C) Preventing errors in classical computations
D) Maximizing the number of qubits in a quantum system

5. How are quantum experiment results affected by noise in quantum systems?

A) Noise enables faster quantum computations
B) Noise accelerates the measurement process
C) Noise introduces errors and impacts the accuracy of measurement outcomes
D) Noise has no impact on quantum experiment results

Solutions: