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

1. What information is typically depicted in the histogram visualization of measurement outcomes in quantum computing?

A) Quantum gate operations
B) Error rates and correction details
C) Probabilities of obtaining specific classical bit values
D) Statevector amplitudes of qubits

2. What is the output of the result in the below snippet?
ghz = QuantumCircuit(3)
ghz.x(0)
ghz.h(0)
ghz.cx([0,0],[1,2])
ghz.measure_all()
backend_qasm = BasicAer.get_backend('qasm_simulator')
job = execute(ghz, backend_qasm,shots=1024)
result = job.result().get_counts()

A) {'100': 253, '010': 261, '111': 253, '000': 261}
B) {'000': 512, '111':512}
C) {'111': 300, '000': 724}
D) {'100': 514, '010': 510}

3. Which of the following returns process fidelity of a noisy quantum channel?

A) fidelity_process
B) gate_error
C) average_gate_fidelity
D) process_fidelity

4. What role does "benchmarking" play in quantum experiments?

A) Evaluating the speed of classical algorithms
B) Comparing the performance of quantum algorithms on different simulators
C) Optimizing quantum gates for error-free computations
D) Assessing and comparing the performance of quantum hardware and simulators

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

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

Solutions: