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

1. In the circuit given below having statevector simulator as the backend, choose the
_missing_element_from the options?
qc = QuantumCircuit(1)
qc.x(0)
qc.z(0)
backend_state = BasicAer.get_backend('statevector_simulator')
result = execute(qc,backend_state).result()._missing_element_

A) get_statevector_state()
B) get_state_simulator()
C) get_statevector_result()
D) get_statevector()

2. Which quantum computing language is commonly used to work with quantum circuits?

A) Q#
B) C++
C) Python
D) Qiskit

3. Which of the below API returns the random unitary of dimension 2?

A) random_get_unitary_state(2)
B) random_get_unitary(2)
C) random_unitary(2)
D) random_get_unitary_matrix(2)

4. Which of the following option describes the given quantum circuit below correctly in its state_city plot?
bell = QuantumCircuit(2)
bell.h(0)
bell.x(1)
bell.cx(0,1)

A)

B)

C)

D)

5. To return the individual list of measurement outcomes for each individual shot (provided the backend supports it) which argument needs to be set to true in the execute function?

A) memory
B) single_shot
C) memory_shots
D) shots_status

Solutions: