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

1. Given this code fragment, what is the probability that a measurement would result in |0>?
qc = QuantumCircuit(1)
qc.ry(3 * math.pi/4, 0)

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

2. Which code fragment will produce a multi-qubit gate other than a Toffoli?

A) qc.mct([0,1], 2)
B) from qiskit.circuit.library import CXGate
ccx = CXGate().control()
qc.append(ccx, [0,1,2])
C) qc.cry(0,1,2)
D) qc.ccx(0,1,2)

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

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

4. When applying a CNOT gate to two qubits, which qubit acts as the control and which one acts as the target?

A) It doesn't matter, as the CNOT gate is symmetric
B) Both qubits simultaneously act as control and target
C) The first qubit is the control, and the second qubit is the target
D) The second qubit is the control, and the first qubit is the target

5. What role does post-processing play in interpreting quantum experiment results?

A) Optimizing quantum circuits for faster computation
B) Correcting errors in the quantum gates
C) Analyzing and interpreting measurement outcomes
D) Filtering out unwanted quantum states

Solutions: