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IBM C1000-112 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Quantum Circuits | 24% | - Build quantum circuits using Qiskit - Visualize circuit execution results - Execute quantum circuits on IBM Quantum backends - Simulate quantum circuits |
| Fundamentals of Quantum Information | 36% | - Describe the concepts of reversibility and unitarity - Explain the concepts of entanglement and superposition - Explain the basics of quantum computing - Describe the Bloch sphere representation - Describe common quantum gates and their matrix representations |
| Qiskit SDK Features | 40% | - Use qiskit.quantum_info - Use qiskit.tools and qiskit.visualization - Identify the core elements of Qiskit - Use the qiskit.circuit library - Use qiskit.providers and qiskit.execute |
IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:
1. Given Quantum Circuit
qc= QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
to run the above quantum circuit for 2000 times in the qasm_simulator, choose the best option in the given below?
A)
B)
C)
D) 
2. In the below QuantumCircuit, how many Qubits are there?
q1 = QuantumRegister(7, 'q1')
q2 = ClassicalRegister(2, 'q2')
q3 = QuantumRegister(5, 'q3')
qc = QuantumCircuit(q1, q2, q3)
A) 14
B) 12
C) 9
D) 10
3. How does using BasicAer simulators differ from running experiments on actual quantum hardware?
A) BasicAer simulators provide higher qubit capacity
B) BasicAer simulators produce noise-free ideal simulations
C) BasicAer simulators cannot handle quantum error correction codes
D) BasicAer simulators execute quantum computations faster than hardware
4. What will be the output of the result variable in the below snippet?
q = QuantumRegister(1,'q')
qc = QuantumCircuit(q)
qc.y(0)
backend_unitary = BasicAer.get_backend('unitary_simulator')
result = execute(qc,backend_unitary).result().get_unitary(decimals=3)
A)
B)
C)
D) 
5. Predict the output of the average_gate_fidelity, process_fidelity of the below snippet:
a = Operator(YGate())
b = np.exp(1j /2) * a
average_gate_fidelity(a,b)
process_fiedlity(a,b)
A) average_gate_fidelity will be 0.5 and process_fidelity will be 1.0
B) average_gate_fidelity will be 1.0 and process_fidelity will be 0.5
C) average_gate_fidelity will be 1.0 and process_fidelity will be 1.0
D) average_gate_fidelity will be 0 and process_fidelity will be 0.5
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |



