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

C1000-112 pass collection

Exam Code: C1000-112

Exam Name: Fundamentals of Quantum Computation Using Qiskit v0.2X Developer

Updated: Sep 04, 2026

Q & A: 250 Questions and Answers

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IBM C1000-112 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Quantum Circuits24%- Simulate quantum circuits
- Build quantum circuits using Qiskit
- Execute quantum circuits on IBM Quantum backends
- Visualize circuit execution results
Topic 2: Fundamentals of Quantum Information36%- Describe common quantum gates and their matrix representations
- Describe the Bloch sphere representation
- Explain the concepts of entanglement and superposition
- Describe the concepts of reversibility and unitarity
- Explain the basics of quantum computing
Topic 3: Qiskit SDK Features40%- Use qiskit.tools and qiskit.visualization
- Use the qiskit.circuit library
- Use qiskit.providers and qiskit.execute
- Use qiskit.quantum_info
- Identify the core elements of Qiskit

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

Question 1

In quantum computing, what is the primary method for retrieving results from a quantum experiment?

A. Evaluating quantum error correction codes
B. Simulating the quantum circuit on a classical computer
C. Analyzing quantum gates in the circuit
D. Direct measurement of qubit states


Question 2

What is the advantage of using the Aer provider's simulators over real quantum hardware?

A. Simulators allow for larger qubit capacities
B. Real hardware ensures better noise reduction
C. Simulators provide faster execution times
D. Real hardware offers higher accuracy in results


Question 3

In the below code snippet, what is the probability of measuring |1>?
qc = QuantumCircuit(1)
qc.rx(3*math.pi/4, 0)

A. 1.0
B. 0.5
C. 0.1464
D. 0.8536


Question 4

Which of the following missing statement return the depth of the following quantum circuit?
q = QuantumRegister(3)
c = ClassicalRegister(3)
qc = QuantumCircuit(q,c)
qc.h(q[0:3])
qc.x(q[0:3])
qc.z(q[0:3])
qc.draw(output='mpl')

### missing statement to return the depth of the circuit

A. qc.depth_display()
B. qc.size()
C. qc.depth()
D. qc.path()


Question 5

Predict the output of the average_gate_fidelity, process_fidelity of the below snippet:
a = Operator(XGate())
b = np.exp(1j /3) * 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 0 and process_fidelity will be 0.5
D. average_gate_fidelity will be 1.0 and process_fidelity will be 1.0


Solutions:

Question 1
Answer: D
Question 2
Answer: C
Question 3
Answer: D
Question 4
Answer: C
Question 5
Answer: D

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