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IBM C1000-112 exam : Fundamentals of Quantum Computation Using Qiskit v0.2X Developer
- Exam Code: C1000-112
- Exam Name: Fundamentals of Quantum Computation Using Qiskit v0.2X Developer
- Updated: Oct 06, 2026
- Q & A: 250 Questions and Answers
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IBM C1000-112 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Quantum Circuits | 24% | - Execute quantum circuits on IBM Quantum backends - Simulate quantum circuits - Visualize circuit execution results - Build quantum circuits using Qiskit |
| Topic 2: Qiskit SDK Features | 40% | - Use the qiskit.circuit library - Use qiskit.providers and qiskit.execute - Use qiskit.tools and qiskit.visualization - Use qiskit.quantum_info - Identify the core elements of Qiskit |
| Topic 3: Fundamentals of Quantum Information | 36% | - Describe the concepts of reversibility and unitarity - Explain the basics of quantum computing - Explain the concepts of entanglement and superposition - Describe the Bloch sphere representation - Describe common quantum gates and their matrix representations |
IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:
Question #1
Which BasicAer simulator is commonly used for ideal quantum simulations without noise?
- A. qasm_simulator
- B. noise_model_simulator
- C. statevector_simulator
- D. unitary_simulator
Correct Answer: C 🗳️
Question #2
What is the significance of obtaining measurement outcomes in quantum computing experiments?
- A. They show the entanglement levels between qubits
- B. They reveal the number of gates in a quantum circuit
- C. They provide information about the final quantum states
- D. They indicate the level of quantum noise in the system
Correct Answer: C 🗳️
Question #3
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[1])
qc.h(inp_reg[2])
qc.x(ancilla[1])
qc.draw() - B. qc.h(inp_reg[0])
qc.h(inp_reg[1])
qc.x(ancilla[0])
qc.draw() - C. qc.h(inp_reg[0:2])
qc.x(ancilla[0])
qc.draw() - D. qc.h(inp_reg) qc.h(inp_reg) qc.x(ancilla) qc.draw()
- E. qc.h(inp_reg[0:1])
qc.x(ancilla[0])
qc.draw() - F. qc.h(inp_reg)
qc.x(ancilla)
qc.draw()
Correct Answer: B,C,F 🗳️
Question #4
How does the Aer provider contribute to quantum computing experiments?
- A. It provides simulators for quantum circuit simulation
- B. It enables visualization of quantum gates
- C. It offers error correction for noisy quantum devices
- D. It facilitates direct execution on quantum hardware
Correct Answer: A 🗳️
Question #5
In Qiskit, what function allows users to display a list of available backends for quantum computation?
- A. show_backends()
- B. display_backends()
- C. available_backends()
- D. list_quantum_devices()
Correct Answer: A 🗳️
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