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| Section | Objectives |
|---|---|
| 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 |
| Quantum Gates and Circuits | - Single-qubit gates (X, Y, Z, H) - Quantum circuit construction - Multi-qubit gates (CNOT, controlled operations) |
| Qiskit Programming | - Building and executing circuits - Simulators and Aer backend usage - Qiskit Terra basics |
| Quantum Algorithms | - Deutsch-Jozsa algorithm - Basic algorithmic complexity concepts - Grover's search algorithm |
Question 1
In the quantum circuit, choose the best option to display the plot given below?
qc= QuantumCircuit(3)
qc.h(0)
qc.x(1)
qc.cx(0,1)
qc.h(2)
qc.cx(1,2)
qc.measure_all()
backend_qasm = BasicAer.get_backend('qasm_simulator')
job = execute(qc, backend_qasm,shots=1024)
result = job.result().get_counts()
A.
B.
C.
D. 
Question 2
What is the usual output of a quantum measurement on a single qubit?
A. A probability distribution
B. An entangled qubit state
C. A qubit in superposition
D. A classical bit
Question 3
Which line of code would assign a unitary simulator object to the variable backend?
A. backend = BasicAer.get_backend('unitary_simulator')
B. backend = BasicAer.get_back('unitary_simulator')
C. backend = BasicAer.UnitarySimulatorPy()
D. backend = BasicAer.get_back_unitary_simulator()
Question 4
What property distinguishes a quantum computer from a classical computer?
A. Larger memory capacity
B. Utilization of quantum gates
C. Quantum parallelism and superposition
D. Ability to process complex arithmetic operations
Question 5
In the below quantum circuit, to measure the output of qubit which of the below will be used?
qc = QuantumCircuit(1)
qc.x(0)
A. qc.measure(0,0)
B. qc.measure(0)
C. qc.measure_full()
D. qc.measure_all()
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: D |
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