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

1. What kind of information does the statevector_simulator provide about a quantum circuit?

A) The final state vector of the quantum system after the circuit execution
B) The unitary matrix representing the quantum gates in the circuit
C) The measurement outcomes of the qubits
D) The noise model affecting the quantum operations

2. Given an empty QuantumCircuit object, qc, with three qubits and three classical bits, which one of these code fragments would create this circuit?

A) qc.measure(0,1,2)
B) qc.measure([0,0], [1,1], [2,2])
C) qc.measure_all()
D) qc.measure([0,1,2], [0,1,2])

3. Which code fragment would yield an operator that represents a single-qubit X gate?

A) op = Operator.Xop(0)
B) qc = QuantumCircuit(1)
qc.x(0)
op = Operator(qc)
C) op = Operator([[0,1]])
D) op = Operator([[1,0,0,1]])

4. What are the eigenvalues and eigenvectors of X-gate?

A) ±1 and |0>, |1>
B) ±1 and |+>, |->
C) 1, 0 and |+>, |1>
D) -1, +1 and |+>, |->

5. When executing experiments on real quantum hardware, what is a significant challenge that simulators help address?

A) Quantum hardware has limited connectivity between qubits
B) Quantum hardware cannot execute Grover's algorithm
C) Quantum hardware lacks the capability to perform experiments
D) Quantum hardware is affected by decoherence and errors

Solutions: