최신 C1000-112 무료덤프 - IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer

문제1

Which of the below option will implement an operator that represents a single qubit -gate?

A. op = Operator([[1,0,0,1]])

B.

C. op = Operator([[0,i]])

D. op = Operator([[i,0,0,i]])

정답: B

문제2

Which gate is used to perform a controlled phase shift on a qubit, conditioned on the state of another qubit?

A. T gate

B. Pauli-Z gate

C. Phase gate

D. Controlled-S gate

정답: B

문제3

What property distinguishes a quantum computer from a classical computer?

A. Utilization of quantum gates

B. Ability to process complex arithmetic operations

C. Quantum parallelism and superposition

D. Larger memory capacity

정답: C

문제4

What is the output of the given state in qiskit after applying CNOT to it?
1/√2|00> + 1/2|10> - 1/2|11>

A. 1/√2|01> + 1/2|01> - 1/2|11>

B. 1/√2|00> + 1/2|11> - 1/2|10>

C. 1/√2|00>

D. 1/√2|00> + 1/2|10> - 1/2|11>

정답: B

문제5

What information does the Bloch sphere visualization provide in quantum computing?

A. A display of gate errors and noise in quantum systems

B. Connectivity details of quantum hardware

C. A graphical representation of quantum circuits

D. The probability amplitudes of qubits

정답: D

문제6

What is the primary function of Qiskit Terra in quantum computing?

A. Creating and managing quantum circuits and their operations

B. Executing quantum experiments on real hardware

C. Simulating quantum circuits and executing experiments

D. Analyzing experimental results from quantum measurements

정답: A

문제7

Given this code fragment, which output fits most closely with the measurement probability distribution?
qc = QuantumCircuit(2, 2)
qc.x(0)
qc.measure([0,1], [0,1])
simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator, shots=1000).result()
counts = result.get_counts(qc)
print(counts)

A. {'10': 1000}

B. {'01': 1000}

C. {'11': 1000}

D. {'00': 1000}

정답: B

문제8

How does Qiskit Terra contribute to the process of quantum circuit creation?

A. It designs and simulates quantum circuits on classical computers

B. It generates quantum algorithms for various applications

C. It provides real quantum hardware for circuit execution

D. It focuses on quantum error correction for circuits

정답: A

문제9

Which of the following bloch_multivector plot options given below is the correct one for the given bell quantum circuit?
qc = QuantumCircuit(2)
qc.x(0)
qc.h(0)
qc.h(1)

A.

B.

C.

D.

정답: A

문제10

In Qasm, how are quantum gates and operations represented within a circuit?

A. Through classical logic gates

B. Via quantum gates and operators like Hadamard, CNOT, etc.

C. Using classical binary instructions

D. With digital symbols representing qubit states

정답: B

문제11

What is the purpose of applying the Hadamard gate in a quantum circuit?

A. Perform a controlled NOT operation

B. Transform basis states to superposition states

C. Create entanglement between qubits

D. Measure the qubits in the circuit

정답: B

문제12

What is the equivalent phase of the phase gate when it is Z-gate?

A. π/8

B. π

C. π/4

D. π/2

정답: B

문제13

How is the number of available quantum devices typically displayed in Qiskit?

A. Using a command-line interface

B. Via a Jupyter notebook output

C. Through a graphical user interface

D. As a separate downloadable file

정답: B

문제14

In the given circuit what are the possible ways to measure the quantum register using the classical register? (Select 2) q = QuantumRegister(3) c = ClassicalRegiser(3) qc = QuantumCircuit(q,c) qc.h(0) qc.cx(0,1) qc.cx(0,2) qc.barrier()

A. qc.measure([0,0],[1,1],[2,2])

B. qc.measure([0,1,2],[0,1,2])

C. qc.measure_all()

D. qc.measure(0,1,2)

E. qc.measure(q,c)

정답: B,E

문제15

Which quantum algorithm is commonly used to find factors of large composite numbers efficiently?

A. Grover's algorithm

B. Deutsch-Jozsa algorithm

C. Bernstein-Vazirani algorithm

D. Shor's algorithm

정답: D

문제16

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()