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

1. Which parameter in QuantumCircuit.execute function performs the optimization in the scale of no- optimization to highest optimization?

A) optimization_size
B) optimization_scale
C) optimization_level
D) optimization_factor

2. How do the principles of uncertainty in quantum mechanics affect information encoding?

A) They allow for absolute certainty in information transmission
B) They have no impact on information encoding
C) They impose limitations on simultaneous knowledge of certain pairs of properties
D) They make quantum information more predictable than classical information

3. What is the role of Qiskit Aer in the Qiskit framework?

A) Visualizing quantum circuits and their gates
B) Implementing quantum error correction codes
C) Offering simulators for quantum circuits and backends for real hardware
D) Providing quantum algorithmic solutions

4. In the quantum circuit, choose the best option to display the plot given below?
qc= QuantumCircuit(3)
qc.h(0)
qc.x(1)
qc.cx(0,1)
qc.h(2)
qc.cx(1,2)
qc.measure_all()
backend_qasm = BasicAer.get_backend('qasm_simulator')
job = execute(qc, backend_qasm,shots=1024)
result = job.result().get_counts()

A)

B)

C)

D)

5. What characteristic of quantum information poses a challenge to traditional cryptography systems?

A) Quantum entanglement
B) Quantum tunneling effect
C) High error rates in quantum systems
D) Quantum superposition

Solutions: