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NEW QUESTION # 129
What information is typically depicted in the histogram visualization of measurement outcomes in quantum computing?
- A. Quantum gate operations
- B. Probabilities of obtaining specific classical bit values
- C. Statevector amplitudes of qubits
- D. Error rates and correction details
Answer: B
NEW QUESTION # 130
Which of the following gates act as hermitian opeartors? (select 3)
- A. H-gate
- B. X-gate
- C. T-gate
- D. Z-gate
- E. S-gate
Answer: A,B,D
NEW QUESTION # 131
Which kind of quantum simulation does the Aer provider primarily offer?
- A. Ideal, noise-free quantum circuit simulation
- B. Simulation of quantum entanglement states
- C. High-level programming language simulations
- D. Classical bit-level simulation
Answer: A
NEW QUESTION # 132
What characteristic of quantum information poses a challenge to traditional cryptography systems?
- A. Quantum tunneling effect
- B. High error rates in quantum systems
- C. Quantum superposition
- D. Quantum entanglement
Answer: D
NEW QUESTION # 133
What is the purpose of using Qasm in quantum computing?
- A. Implementing quantum error correction codes
- B. Writing classical algorithms for quantum computers
- C. Assembling classical bits into quantum bits
- D. Describing quantum circuits and operations
Answer: D
NEW QUESTION # 134
How does quantum teleportation differ from classical data transmission?
- A. Both methods transfer information using similar protocols
- B. Quantum teleportation transmits information instantaneously
- C. Classical data transmission is more secure than quantum teleportation
- D. Quantum teleportation requires a direct physical link between sender and receiver
Answer: B
NEW QUESTION # 135
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(0,0)
- C. qft.measure_all()
- D. qft.measure(0)
Answer: C
NEW QUESTION # 136
Which code fragment will produce a multi-qubit gate other than a CNOT?
- A. qc.mct([0],1)
- B. qc.cnot(0,1)
- C. qc.cx(0,1)
- D. qc.cz(0,1)
Answer: D
NEW QUESTION # 137
Which tool is commonly used to simulate quantum circuits and execute experiments in a software environment?
- A. Q# Programming Language
- B. Quantum Assembly Language (QASM)
- C. Qiskit Aer
- D. IBM Quantum Experience
Answer: C
NEW QUESTION # 138
What property distinguishes a quantum computer from a classical computer?
- A. Larger memory capacity
- B. Ability to process complex arithmetic operations
- C. Utilization of quantum gates
- D. Quantum parallelism and superposition
Answer: D
NEW QUESTION # 139
Which code fragment will produce a maximally entangled, or Bell, state?
- A. bell = QuantumCircuit(2)
bell.h(0)
bell.h(0) - B. bell = QuantumCircuit(2)
bell.cx(0, 1)
bell.h(0)
bell.x(1) - C. bell = QuantumCircuit(2)
bell.h(0)
bell.x(1)
bell.cz(0, 1) - D. bell = QuantumCircuit(2)
bell.h(0)
bell.x(1)
bell.cx(0, 1)
Answer: D
NEW QUESTION # 140
Which Qiskit component allows the visualization of the Bloch sphere for single qubit states?
- A. Qiskit BlochSphere
- B. Qiskit Visualizer
- C. Qiskit QuantumSphere
- D. Qiskit Bloch
Answer: A
NEW QUESTION # 141
What will be the output for the below snippet?
q = QuantumRegister(2,"qreg")
c = ClassicalRegister(2,"creg")
qc = QuantumCircuit(q,c)
qc.x(q[0])
qc2.measure(q,c)
job = execute(qc2,Aer.get_backend('qasm_simulator'),shots=1024)
counts = job.result().get_counts(qc2)
print(counts)
- A. {'01': 1024}
- B. {'10': 1024}
- C. {'11': 1024}
- D. {'00':1024 }
Answer: A
NEW QUESTION # 142
Which of the simulator given below should be used for getting the results in state vector format?
- A. unitary_simulator
- B. qasm_simulator
- C. statevector_simulator
Answer: C
NEW QUESTION # 143
How does Qasm contribute to the execution of quantum circuits in simulators or actual quantum hardware?
- A. It focuses on quantum gate optimization for faster computations
- B. It provides the instructions for simulating or executing quantum operations
- C. It translates quantum circuits into classical bits for execution
- D. It serves as a visual representation tool for quantum operations
Answer: B
NEW QUESTION # 144
Which of the following options will be best suited for the missing statement in the below snippet to achieve the quantum state i|10〉?
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, Aer qc= QuantumCircuit(2,2)
#missing statement
- A. qc.z(1)
qc.x(1) - B. qc.s(0)
qc.x(0) - C. qc.y(1)
- D. qc.y(0)
Answer: C
NEW QUESTION # 145
Predict the output of counts in the below-given snippet:
q = QuantumRegister(2,'q')
c = ClassicalRegister(2,'c')
qc = QuantumCircuit(q,c)
qc.h(0)
qc.h(1)
qc.measure([0,1],[0,1])
backend = BasicAer.get_backend('qasm_simulator')
job = execute(qc, backend, shots=100)
counts = job.result().get_counts()
- A.
- B.
- C.
- D.
- E.
Answer: D
NEW QUESTION # 146
What does Qasm stand for in quantum computing?
- A. Quantum Asymmetric Simulation Model
- B. Quantum Assembler
- C. Quantum Assembly Language
- D. Quantum Algorithmic Solver
Answer: C
NEW QUESTION # 147
Which of the below command is used to get the information about real quantum computers available in the qiskit?
- A.
- B.
- C.
- D.
Answer: D
NEW QUESTION # 148
Which of the following command results in densitymatrix output of the below Quantum Circuit?
import qiskit.quantum_info as qi
bell = QuantumCircuit(2)
bell.h(0)
bell.cx(0,1)
- A.
- B.
- C.
- D.
Answer: D
NEW QUESTION # 149
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