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

1. In executing quantum experiments, what does "quantum volume" measure?

A) The speed of quantum computations
B) The number of qubits in a quantum circuit
C) The overall performance and error rates of quantum hardware
D) The complexity of quantum algorithms

2. Assuming the fragment below, which three code fragments would produce the circuit illustrated?
inp_reg = QuantumRegister(2, name='inp')
ancilla = QuantumRegister(1, name='anc')
qc = QuantumCircuit(inp_reg, ancilla)
# Insert code here

A) qc.h(inp_reg)
qc.x(ancilla)
qc.draw()
B) qc.h(inp_reg[0])
qc.h(inp_reg[1])
qc.x(ancilla[0])
qc.draw()
C) qc.h(inp_reg) qc.h(inp_reg) qc.x(ancilla) qc.draw()
D) qc.h(inp_reg[0:2])
qc.x(ancilla[0])
qc.draw()
E) qc.h(inp_reg[0:1])
qc.x(ancilla[0])
qc.draw()
F) qc.h(inp_reg[1])
qc.h(inp_reg[2])
qc.x(ancilla[1])
qc.draw()

3. In the Qiskit framework, which component is essential for studying and implementing methods to mitigate errors in quantum computation?

A) Qiskit Terra
B) Qiskit Ignis
C) Qiskit Aer
D) Qiskit Aqua

4. Which code snippet would execute a circuit given these parameters?
1) Measure the circuit 1024 times,
2) use the QASM simulator,
3) and use a coupling map that connects three qubits linearly
qc = QuantumCircuit(3)
# Insert code fragment here
result = job.result()

A) qasm_sim = Aer.getBackend('ibmq_simulator')
couple_map = [[0, 1], [0, 2]]
job = execute(qc, loop=1024, coupling_map=couple_map)
B) qasm_sim = Aer.get_backend('qasm_simulator')
couple_map = [[0, 1], [1, 2]]
job = execute(qc, backend=qasm_sim, shots=1024, coupling_map=couple_map)
C) qasm_sim = Aer.get_backend('qasm_simulator')
couple_map = [[0, 1], [1, 2]]
job = execute(backend=qasm_sim, qc, shot=1024, coupling_map=couple_map)
D) qasm_sim = Aer.get_backend('qasm_simulator')
couple_map = [[0, 1], [1, 2]]
job = execute(qc, backend=qasm_sim, repeat=1024, coupling_map=couple_map)