IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer : C1000-112 valid dump

C1000-112
  • 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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IBM C1000-112 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement BasicAer Simulators3%- Use Python-based simulator backend
Topic 2: Use Qiskit Tools1%- Monitor job status and retrieve results
Topic 3: Perform Operations on Quantum Circuits47%- 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 Experiments3%- Execute circuits on simulators and backends
Topic 5: Access Aer Provider6%- Configure and use Aer simulators
Topic 6: Display and Use System Information3%- Check Qiskit version and backend details
Topic 7: Construct Visualizations19%- Plot circuits, Bloch spheres, histograms
Topic 8: Compare and Contrast Quantum Information10%- Statevectors, unitaries, density matrices
- Fidelity and quantum state analysis
Topic 9: Implement QASM1%- Read/write and validate QASM files
Topic 10: Return and Interpret Experiment Results7%- Analyze histogram counts
- Extract statevector and unitary data

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

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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