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1. What is the purpose of using Qasm in quantum computing?
A) Writing classical algorithms for quantum computers
B) Implementing quantum error correction codes
C) Assembling classical bits into quantum bits
D) Describing quantum circuits and operations
2. Which of the below option will implement an operator that represents single qubit Z-gate?
A) op = Operator([[j,0,0,-j]])
B)
C) op = Operator([[0,-1]])
D) op = Operator([[1,0,0,1]])
3. In the below QuantumCircuit, how many Qubits are there?
q1 = QuantumRegister(7, 'q1')
q2 = ClassicalRegister(2, 'q2')
q3 = QuantumRegister(5, 'q3')
qc = QuantumCircuit(q1, q2, q3)
A) 14
B) 12
C) 10
D) 9
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.from_file('myfile.qasm')
C) qc = QuantumCircuit.from_qasm_file('myfile.qasm')
D) qc = QuantumCircuit.read('myfile.qasm')
E) qc = QuantumCircuit.qasm_read('myfile.qasm')
5. We have two quantum circuits snippets and figures shown below:
qc = QuantumCircuit(3)
qc.h(0)
qc.z(0)
qc.x(1)
qc.cx(0,1)
qc.y(1)
qc.x(2)
qc.h(2)
qc.barrier()
qc.draw(output='mpl')
qft = QuantumCircuit(2)
qft.ry(math.pi / 2, 0)
qft.s(0)
qft.h(1)
qft.draw(output='mpl')
Out of the below-mentioned options, which option suits best for getting the below output of the circuit new_qc?
A)
B)
C)
D) 
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |
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