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IBM C1000-112 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Qiskit SDK Features | 40% | - Use the qiskit.circuit library - Identify the core elements of Qiskit - Use qiskit.tools and qiskit.visualization - Use qiskit.quantum_info - Use qiskit.providers and qiskit.execute |
| Topic 2: Quantum Circuits | 24% | - Visualize circuit execution results - Simulate quantum circuits - Execute quantum circuits on IBM Quantum backends - Build quantum circuits using Qiskit |
| Topic 3: Fundamentals of Quantum Information | 36% | - Explain the basics of quantum computing - Describe the Bloch sphere representation - Describe common quantum gates and their matrix representations - Explain the concepts of entanglement and superposition - Describe the concepts of reversibility and unitarity |
IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:
Question #1
Given Quantum Circuit
qc= QuantumCircuit(2)
qc.h(0)
qc.h(1)
to run the above quantum circuit 512 times in the qasm_simulator, choose the best option in the given below?
A. 
B. 
C. 
D. 
Question #2
What process follows the retrieval of results from a quantum experiment to draw meaningful conclusions?
A. Quantum entanglement verification
B. Implementing quantum error correction codes
C. Quantum gate optimization
D. Statistical analysis and result interpretation
Question #3
In Qiskit, what function allows users to display a list of available backends for quantum computation?
A. list_quantum_devices()
B. display_backends()
C. show_backends()
D. available_backends()
Question #4
How can the Aer provider's simulators be beneficial for users when experimenting with quantum algorithms?
A. By enabling debugging and testing without real hardware constraints
B. By introducing random errors to enhance algorithm efficiency
C. By limiting the number of qubits available for simulations
D. By guaranteeing 100% accuracy in quantum circuit simulations
Question #5
Which of the following is the best option to plot the |+> basis in plot_bloch_vector?
A. plot_bloch_vector([0,0,1])
B. plot_bloch_vector([0,1,0])
C. plot_bloch_vector([1,0,0])
D. plot_bloch_vector([0,0.5,0])
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: D | Question #3 Correct Answer: C | Question #4 Correct Answer: A | Question #5 Correct Answer: C |
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