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IBM C1000-112 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Access Aer Provider | 6% | - Configure and use Aer simulators |
| Compare and Contrast Quantum Information | 10% | - Fidelity and quantum state analysis - Statevectors, unitaries, density matrices |
| Implement QASM | 1% | - Read/write and validate QASM files |
| Display and Use System Information | 3% | - Check Qiskit version and backend details |
| Implement BasicAer Simulators | 3% | - Use Python-based simulator backend |
| Use Qiskit Tools | 1% | - Monitor job status and retrieve results |
| Executing Experiments | 3% | - Execute circuits on simulators and backends |
| Perform Operations on Quantum Circuits | 47% | - Return circuit depth and OpenQASM strings - Construct quantum registers and circuits - Add barriers and measure operations - Apply single-qubit and multi-qubit gates |
| Return and Interpret Experiment Results | 7% | - Analyze histogram counts - Extract statevector and unitary data |
| Construct Visualizations | 19% | - Plot circuits, Bloch spheres, histograms |
IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:
1. In the circuit given below having unitary simulator as the backend, choose the
_missing_element_from the options?
qc = QuantumCircuit(1)
qc.h(0)
backend_unitary = BasicAer.get_backend('unitary_simulator')
result = execute(qc,backend_unitary).result()._missing_element_
A) get_unitary_simulator()
B) get_unitary_matrix()
C) get_unitary()
D) get_unitary_result()
2. What is the purpose of applying the Hadamard gate in a quantum circuit?
A) Perform a controlled NOT operation
B) Transform basis states to superposition states
C) Measure the qubits in the circuit
D) Create entanglement between qubits
3. Which parameter in QuantumCircuit.execute function performs the optimization in the scale of no- optimization to highest optimization?
A) optimization_factor
B) optimization_level
C) optimization_scale
D) optimization_size
4. What does the draw(output='latex') function in qiskit returns?
A) TextDrawing
B) str
C) matplotlib.figure.Figure
D) PIL.Image
5. To return the individual list of measurement outcomes for each individual shot (provided the backend supports it) which argument needs to be set to true in the execute function?
A) memory_shots
B) single_shot
C) shots_status
D) memory
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
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