[2025年06月01日] C1000-112テストエンジンお試しセット、C1000-112問題集PDF
最新のIBM C1000-112のPDFと問題集で（2025）無料試験問題解答
質問 # 41
What role does "benchmarking" play in quantum experiments?
- A. Comparing the performance of quantum algorithms on different simulators
- B. Optimizing quantum gates for error-free computations
- C. Assessing and comparing the performance of quantum hardware and simulators
- D. Evaluating the speed of classical algorithms
正解：C
質問 # 42
What feature differentiates the Aer provider's simulators from other backends in Qiskit?
- A. Access to classical computing resources
- B. The ability to execute directly on IBM Quantum Experience
- C. Tailored, high-performance quantum simulations
- D. Specialized quantum error correction capabilities
正解：C
質問 # 43
What information is typically depicted in the histogram visualization of measurement outcomes in quantum computing?
- A. Probabilities of obtaining specific classical bit values
- B. Statevector amplitudes of qubits
- C. Quantum gate operations
- D. Error rates and correction details
正解：A
質問 # 44
What Qiskit function is primarily used to display information about noise models and quantum errors affecting a device?
- A. plot_error_details()
- B. show_error_map()
- C. visualize_noise_models()
- D. display_error_information()
正解：B
質問 # 45
What code fragment codes the equivalent circuit if you remove the barrier in the following QuantumCircuit?
- A. qc = QuantumCircuit(1,1)
qc.h(0)
qc.t(0)
qc.tdg(0)
qc.h(0)
qc.measure(0,0) - B. qc = QuantumCircuit(1,1)
qc.h(0)
qc.s(0)
qc.h(0)
qc.measure(0,0) - C. qc = QuantumCircuit(1,1)
qc.h(0)
qc.z(0)
qc.h(0)
qc.measure(0,0) - D. qc = QuantumCircuit(1,1)
qc.measure(0,0)
正解：B
質問 # 46
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. {'00':1024 }
- B. {'11': 1024}
- C. {'10': 1024}
- D. {'01': 1024}
正解：D
質問 # 47
What is the purpose of applying the Hadamard gate in a quantum circuit?
- A. Create entanglement between qubits
- B. Measure the qubits in the circuit
- C. Transform basis states to superposition states
- D. Perform a controlled NOT operation
正解：C
質問 # 48
What is the primary advantage of quantum information processing over classical information processing?
- A. Quantum information enables parallel processing and superposition
- B. Classical information can hold more data than quantum information
- C. Classical information is more secure than quantum information
- D. Quantum information is always error-free
正解：A
質問 # 49
What does the quantum operation SWAP do?
- A. Exchanges the phase of qubits
- B. Implements quantum error correction
- C. Exchanges the states of two qubits
- D. Exchanges the amplitudes of qubits
正解：C
質問 # 50
How are quantum experiment results affected by noise in quantum systems?
- A. Noise has no impact on quantum experiment results
- B. Noise accelerates the measurement process
- C. Noise introduces errors and impacts the accuracy of measurement outcomes
- D. Noise enables faster quantum computations
正解：C
質問 # 51
Which of the following statement will return a random state vector of dimension 2?
- A. random_get_statevector_operator(2)
- B. random_statevector(2)
- C. random_statevector_operator(2)
- D. random_get_statevector(2)
正解：B
質問 # 52
What Qiskit component enables simulation of quantum systems, including noise models and backends?
- A. Qiskit Ignis
- B. Qiskit Aer
- C. Qiskit Terra
- D. Qiskit Aqua
正解：B
質問 # 53
Which of the following returns process fidelity of a noisy quantum channel?
- A. fidelity_process
- B. gate_error
- C. average_gate_fidelity
- D. process_fidelity
正解：D
質問 # 54
Which of the below option will implement an operator that represents a single qubit -gate?
- A. op = Operator([[1,0,0,1]])
- B. op = Operator([[0,i]])
- C.
- D. op = Operator([[i,0,0,i]])
正解：C
質問 # 55
In the below code snippet, what is the probability of measuring |1>?
qc = QuantumCircuit(1)
qc.rx(3*math.pi/4, 0)
- A. 0.8536
- B. 1.0
- C. 0.1464
- D. 0.5
正解：A
質問 # 56
In Qasm, how are quantum gates and operations represented within a circuit?
- A. With digital symbols representing qubit states
- B. Via quantum gates and operators like Hadamard, CNOT, etc.
- C. Using classical binary instructions
- D. Through classical logic gates
正解：B
質問 # 57
Which of the below option will implement an operator that represents single qubit Z-gate?
- A. op = Operator([[1,0,0,1]])
- B.
- C. op = Operator([[0,-1]])
- D. op = Operator([[j,0,0,-j]])
正解：B
質問 # 58
What is the output of the below snippet?
a = 1/np.sqrt(2)
desired_state = [a,np.sqrt(1-a**2)]
qc = QuantumCircuit(1)
qc.initialize(desired_state,0)
back_sv = BasicAer.get_backend('statevector_simulator')
result = execute(qc, back_sv).result()
qc_sv = result.get_statevector(qc)
state_fidelity(desired_state, qc_sv)
- A. Error in executing state_fidelity
- B. 1.0
- C. 0
- D. 0.5
正解：B
質問 # 59
Which quantum gate is similar to classical NOT gate?
- A. CNOT gate
- B. X gate
- C. Hadamard gate
- D. Y gate
正解：B
質問 # 60
What is the purpose of the qasm_simulator in BasicAer?
- A. Executing noisy simulations of quantum circuits
- B. Calculating the unitary matrix of the quantum gates in the circuit
- C. Providing information about the state vector of the quantum system
- D. Simulating the ideal behavior of a quantum system
正解：A
質問 # 61
What will be the output of the result variable in the below snippet?
q = QuantumRegister(1,'q')
qc = QuantumCircuit(q)
qc.z(0)
backend_unitary = BasicAer.get_backend('unitary_simulator')
result = execute(qc,backend_unitary).result().get_unitary(decimals=3)
- A.
- B.
- C.
- D.
正解：A
質問 # 62
Which of the following statements best describes the role of Qasm in programming quantum circuits?
- A. Qasm describes the sequence of quantum operations in a circuit
- B. Qasm describes classical computations that support quantum circuits
- C. Qasm is a programming language used for quantum hardware communication
- D. Qasm provides a way to visualize quantum circuit execution
正解：A
質問 # 63
Which of the following option describes the given quantum circuit below correctly in its state_city plot?
bell = QuantumCircuit(2)
bell.x(0)
bell.h(0)
bell.cx(0,1)
- A.
- B.
- C.
- D.
正解：C
質問 # 64
Which method allows accessing the Aer provider's simulators in Qiskit?
- A. get_aer_simulators()
- B. list_aer_backends()
- C. retrieve_simulator_list()
- D. access_aer_provider()
正解：A
質問 # 65
What is the output of the below snippet?
qc = QuantumCircuit(q, c)
qc.h(q)
qc.reset(q[0])
qc.measure(q, c)
job = execute(qc, backend, shots=1024)
job.result().get_counts(qc)
- A. {'0': 1024}
- B. {'0':200, '1':824}
- C. {'0':500, '1':524}
- D. {'1':1024}
正解：A
質問 # 66
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