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

C1000-112
  • Exam Code: C1000-112
  • Exam Name: Fundamentals of Quantum Computation Using Qiskit v0.2X Developer
  • Updated: Jul 28, 2026
  • Q & A: 250 Questions and Answers

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IBM C1000-112 Exam Syllabus Topics:

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

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

1. How does using BasicAer simulators differ from running experiments on actual quantum hardware?

A) BasicAer simulators produce noise-free ideal simulations
B) BasicAer simulators execute quantum computations faster than hardware
C) BasicAer simulators cannot handle quantum error correction codes
D) BasicAer simulators provide higher qubit capacity


2. Which principle in quantum computing is violated by Bell's theorem?

A) Coherence
B) Locality
C) Entanglement
D) Superposition


3. What Qiskit component enables simulation of quantum systems, including noise models and backends?

A) Qiskit Aer
B) Qiskit Ignis
C) Qiskit Aqua
D) Qiskit Terra


4. What code fragment codes the equivalent circuit if you remove the barrier in the following QuantumCircuit?

A) qc = QuantumCircuit(1,1)
qc.h(0)
qc.t(0)
qc.tdg(0)
qc.h(0)
qc.measure(0,0)
B) qc = QuantumCircuit(1,1)
qc.h(0)
qc.s(0)
qc.h(0)
qc.measure(0,0)
C) qc = QuantumCircuit(1,1)
qc.h(0)
qc.z(0)
qc.h(0)
qc.measure(0,0)
D) qc = QuantumCircuit(1,1)
qc.measure(0,0)


5. 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) qc.h(inp_reg) qc.x(ancilla) qc.draw()
B) qc.h(inp_reg[0:2])
qc.x(ancilla[0])
qc.draw()
C) qc.h(inp_reg[1])
qc.h(inp_reg[2])
qc.x(ancilla[1])
qc.draw()
D) qc.h(inp_reg)
qc.x(ancilla)
qc.draw()
E) qc.h(inp_reg[0])
qc.h(inp_reg[1])
qc.x(ancilla[0])
qc.draw()
F) qc.h(inp_reg[0:1])
qc.x(ancilla[0])
qc.draw()


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: B,D,E

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