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IBM C1000-112 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Qiskit Programming | - Simulators and Aer backend usage - Qiskit Terra basics - Building and executing circuits |
| Quantum Algorithms | - Grover's search algorithm - Deutsch-Jozsa algorithm - Basic algorithmic complexity concepts |
| Quantum Gates and Circuits | - Multi-qubit gates (CNOT, controlled operations) - Single-qubit gates (X, Y, Z, H) - Quantum circuit construction |
| Quantum Computing Fundamentals | - Qubits and quantum states - Superposition and entanglement - Measurement and collapse |
| Noise and Real Hardware | - Quantum noise and error sources - IBM Quantum hardware execution |
IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:
1. How is the statevector of a quantum circuit typically visualized using plot_statevector() in Qiskit?
A) As a bar chart displaying quantum gate operations
B) Using a scatter plot indicating qubit connectivity
C) As a line plot representing qubit states
D) Through a 3D visualization of qubit entanglement
2. If we have n qubits, how many states can we represent maximum?
A) n^2
B) 2^n
C) 2^n - 1
D) 2n
3. Which code snippet would execute a circuit given these parameters?
- use the QASM simulator,
- use a coupling map that connects three qubits linearly
- run the circuit 100 times
qc = QuantumCircuit(3)
# Insert code fragment here
result = job.result()
A)
B)
C)
D) 
4. What information is typically depicted in the histogram visualization of measurement outcomes in quantum computing?
A) Statevector amplitudes of qubits
B) Probabilities of obtaining specific classical bit values
C) Quantum gate operations
D) Error rates and correction details
5. What are the backends available in qiskit Basic Aer?
A) All of the above
B) qasm_simulator
C) unitary_simulator
D) statevector_simulator
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |







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