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IBM C1000-112 Exam Syllabus Topics:

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

1. What information does the unitary_simulator provide for a quantum circuit?

A) The probability amplitudes of the qubits
B) The state vector of the quantum system
C) The unitary matrix representing the circuit's gates
D) The probabilities of different measurement outcomes

2. Choose the Toffoli gate in the given options:

A)

B)

C)

D)

3. What is the purpose of applying the Hadamard gate in a quantum circuit?

A) Measure the qubits in the circuit
B) Perform a controlled NOT operation
C) Create entanglement between qubits
D) Transform basis states to superposition states

4. Which coding snippet will create a quantum circuit with three quantum bits and three classical bits?

A) QuantumCircuit([3,3])
B) QuantumCircuit(QuantumRegister(3,'q'), QuantumRegister(3,'c'))
C) QuantumCircuit(3, 3)
D) QuantumCircuit(3)

5. 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()

Solutions: