- Exam Code: C1000-112
- Exam Name: Fundamentals of Quantum Computation Using Qiskit v0.2X Developer
- Updated: Sep 08, 2026
- Q & A: 250 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement BasicAer Simulators | 3% | - Use Python-based simulator backend |
| Topic 2: Use Qiskit Tools | 1% | - Monitor job status and retrieve results |
| Topic 3: Perform Operations on Quantum Circuits | 47% | - Add barriers and measure operations - Return circuit depth and OpenQASM strings - Apply single-qubit and multi-qubit gates - Construct quantum registers and circuits |
| Topic 4: Executing Experiments | 3% | - Execute circuits on simulators and backends |
| Topic 5: Access Aer Provider | 6% | - Configure and use Aer simulators |
| Topic 6: Display and Use System Information | 3% | - Check Qiskit version and backend details |
| Topic 7: Construct Visualizations | 19% | - Plot circuits, Bloch spheres, histograms |
| Topic 8: Compare and Contrast Quantum Information | 10% | - Statevectors, unitaries, density matrices - Fidelity and quantum state analysis |
| Topic 9: Implement QASM | 1% | - Read/write and validate QASM files |
| Topic 10: Return and Interpret Experiment Results | 7% | - Analyze histogram counts - Extract statevector and unitary data |
Question 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 noise model affecting the quantum operations
C. The measurement outcomes of the qubits
D. The unitary matrix representing the quantum gates in the circuit
Question 2
When running experiments on quantum hardware, what is "calibration" in quantum computing?
A. Measuring the speed of a quantum algorithm
B. Ensuring that quantum circuits have error-free computations
C. Adjusting quantum gates for specific qubits to account for hardware imperfections
D. Performing preliminary tests on simulators before using actual hardware
Question 3
Which one of the below statements is invalid when drawing the quantum circuit?
A. qc.draw(output='latex')
B. qc.draw(output='text')
C. qc.draw(output='png')
D. qc.draw(output='mpl')
Question 4
How does using BasicAer simulators differ from running experiments on actual quantum hardware?
A. BasicAer simulators cannot handle quantum error correction codes
B. BasicAer simulators provide higher qubit capacity
C. BasicAer simulators execute quantum computations faster than hardware
D. BasicAer simulators produce noise-free ideal simulations
Question 5
Which code fragment will produce a multi-qubit gate other than a Toffoli?
A. qc.mct([0,1], 2)
B. from qiskit.circuit.library import CXGate
ccx = CXGate().control()
qc.append(ccx, [0,1,2])
C. qc.ccx(0,1,2)
D. qc.cry(0,1,2)
Solutions:
| Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: D |
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