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

1. In the below code snippet, what is the probability of measuring |1>?
qc = QuantumCircuit(1)
qc.rx(3*math.pi/4, 0)

A) 1.0
B) 0.5
C) 0.8536
D) 0.1464

2. What is the output of the below snippet?
qc = QuantumCircuit(q, c)
qc.h(q)
qc.reset(q[0])
qc.measure(q, c)
job = execute(qc, backend, shots=1024)
job.result().get_counts(qc)

A) {'0':200, '1':824}
B) {'0': 1024}
C) {'1':1024}
D) {'0':500, '1':524}

3. Which statement continues parsing filename as if the contents of the file were inserted at the location of the statement?

A) statement: qasm_parser "filename";
B) statement: include "filename";
C) statement: begin "filename";
D) statement: compile "filename";

4. What advantage does the Aer provider's simulators offer for researchers and developers?

A) High-level abstraction from the quantum algorithms
B) Execution of algorithms with quantum error correction codes
C) Cost-effective and faster testing of quantum algorithms
D) Direct access to quantum cloud services

5. What system information can be retrieved using the show_backend_properties() function in Qiskit?

A) Specifics about quantum hardware, such as gate errors and connectivity
B) System software updates and patches
C) Information on quantum circuit gates and operations
D) Details on user accounts

Solutions: