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IBM C1000-112 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Perform Operations on Quantum Circuits | 47% | - Apply single-qubit and multi-qubit gates - Construct quantum registers and circuits - Add barriers and measure operations - Return circuit depth and OpenQASM strings |
| Implement QASM | 1% | - Read/write and validate QASM files |
| Compare and Contrast Quantum Information | 10% | - Statevectors, unitaries, density matrices - Fidelity and quantum state analysis |
| Access Aer Provider | 6% | - Configure and use Aer simulators |
| Implement BasicAer Simulators | 3% | - Use Python-based simulator backend |
| Use Qiskit Tools | 1% | - Monitor job status and retrieve results |
| Return and Interpret Experiment Results | 7% | - Analyze histogram counts - Extract statevector and unitary data |
| Executing Experiments | 3% | - Execute circuits on simulators and backends |
| Display and Use System Information | 3% | - Check Qiskit version and backend details |
| Construct Visualizations | 19% | - Plot circuits, Bloch spheres, histograms |
IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:
1. Which of the following gates act as hermitian opeartors? (select 3)
A) T-gate
B) Z-gate
C) S-gate
D) H-gate
E) X-gate
2. Given a Quantum circuit below,
qft = QuantumCircuit(1)
qft.ry(math.pi / 2, 0)
qft.s(0)
Which of the below statement, measures the outcome of the quantum circuit?
A) qft.measure(1)
B) qft.measure(0)
C) qft.measure(0,0)
D) qft.measure_all()
3. What does the Bloch sphere represent in quantum computing?
A) A type of quantum algorithm
B) A quantum encryption method
C) A quantum error correction technique
D) A visual representation of a qubit's state
4. Which of the following statement will convert the below qasm file to a Quantum circuit qc?
myfile.qasm
OPENQASM 2.0;
include "qelib1.inc";
qreg q[2];
h q[0];
h q[1];
s q[0];
s q[1];
A) qc = QuantumCircuit.read('myfile.qasm')
B) qc = QuantumCircuit.qasm_read('myfile.qasm')
C) qc = QuantumCircuit.from_file('myfile.qasm')
D) qc = QuantumCircuit.from_qasm_file('myfile.qasm')
E) qc = QuantumCircuit.read('myfile.qasm')
5. Predict the state vector output of the below quantum circuit?
qc= QuantumCircuit(3)
qc.h(0)
qc.z(0)
qc.x(1)
qc.cx(0,1)
qc.x(2)
qc.cx(1,2)
backend_sv = BasicAer.get_backend('statevector_simulator')
job = execute(qc, backend_sv,shots=1024)
result = job.result()
sv_ev = result.get_statevector(qc)
A)
B)
C)
D) 
Solutions:
| Question # 1 Answer: B,D,E | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: A |








