Practice Test for C1000-112 Certification Real 2024 Mock Exam [Q28-Q44]

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Practice Test for C1000-112 Certification Real 2024 Mock Exam

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IBM C1000-112 certification exam consists of 60 questions that must be completed within 90 minutes. C1000-112 exam is designed to assess a candidate's knowledge and understanding of quantum computing concepts, including quantum gates, quantum circuits, and quantum algorithms. Additionally, the exam assesses a candidate's ability to use Qiskit to develop and test quantum algorithms and applications.


IBM C1000-112 exam is an industry-recognized certification that is highly valued by employers in the field of quantum computation. Fundamentals of Quantum Computation Using Qiskit v0.2X Developer certification demonstrates the candidate's proficiency in developing quantum applications using Qiskit v0.2X and their ability to solve complex problems using quantum computation techniques.


IBM C1000-112 (Fundamentals of Quantum Computation Using Qiskit v0.2X Developer) Exam is an excellent certification exam for individuals who want to develop their skills in quantum computing. It is a comprehensive exam that covers various aspects of quantum computation using Qiskit v0.2X developer, and passing the exam demonstrates that you have a deep understanding of quantum computing and how it can be applied to solve complex problems.

 

NEW QUESTION # 28
Which statement will create a quantum circuit with four quantum bits and four classical bits?

  • A. QuantumCircuit([4, 4])
  • B. QuantumCircuit(4)
  • C. QuantumCircuit(4, 4)
  • D. QuantumCircuit(QuantumRegister(4, 'qr0'), QuantumRegister(4, 'cr1'))

Answer: C


NEW QUESTION # 29
Which of the simulator given below should be used for getting the results in the list which displays the probabilities of the state?

  • A. unitary_simulator
  • B. statevector_simulator
  • C. qasm_simulator

Answer: C


NEW QUESTION # 30
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_all()
  • B. qc.measure(0)
  • C. qc.measure_full()
  • D. qc.measure(0,0)

Answer: A


NEW QUESTION # 31
Which code fragment will produce a maximally entangled, or Bell, state?

  • A. bell = QuantumCircuit(2)
    bell.cx(0, 1)
    bell.h(0)
    bell.x(1)
  • B. bell = QuantumCircuit(2)
    bell.h(0)
    bell.x(1)
    bell.cz(0, 1)
  • C. bell = QuantumCircuit(2)
    bell.h(0)
    bell.h(0)
  • D. bell = QuantumCircuit(2)
    bell.h(0)
    bell.x(1)
    bell.cx(0, 1)

Answer: D


NEW QUESTION # 32
Which quantum gate is commonly used for reversing a quantum operation?

  • A. CNOT gate
  • B. Pauli-X gate
  • C. T gate
  • D. Hadamard gate

Answer: B


NEW QUESTION # 33
What is the primary goal of quantum error correction?

  • A. Enhancing quantum gate operations
  • B. Minimizing errors caused by quantum decoherence
  • C. Maximizing the number of qubits in a quantum system
  • D. Preventing errors in classical computations

Answer: B


NEW QUESTION # 34
For the given quantum circuit, what is missing barrier instruction statements 1 & 2 below?
qc = QuantumCircuit(3)
qc.h(0)
qc.z(1)
qc.x(2)
# missing_statement_1
qc.cx(0,1)
qc.h(2)
# missing_statement_2
qc.draw(output='mpl')

  • A. missing_statement_1: qc.barrier(0,1)
    missing_statement_2: qc.barrier()
  • B. missing_statement_1: qc.barrier(:1)
    missing_statement_2: qc.barrier()
  • C. missing_statement_1: qc.barrier(0,1)
    missing_statement_2: qc.barrier_all()
  • D. missing_statement_1: qc.barrier(1,2)
    missing_statement_2: qc.barrier_all()

Answer: A


NEW QUESTION # 35
How is the number of available quantum devices typically displayed in Qiskit?

  • A. Via a Jupyter notebook output
  • B. As a separate downloadable file
  • C. Through a graphical user interface
  • D. Using a command-line interface

Answer: A


NEW QUESTION # 36
In quantum computing, what is the significance of multiple measurements of the same qubit?

  • A. It accelerates the overall quantum computation process
  • B. It helps in reducing the effects of quantum noise
  • C. It improves quantum gate efficiency
  • D. It ensures quantum entanglement among qubits

Answer: B


NEW QUESTION # 37
How can one display the status of the quantum device in Qiskit?

  • A. Using display_status()
  • B. By running check_device_status()
  • C. Employing show_backend_status()
  • D. Utilizing get_backend_status()

Answer: C


NEW QUESTION # 38
What is the purpose of the qasm_simulator in BasicAer?

  • A. Executing noisy simulations of quantum circuits
  • B. Providing information about the state vector of the quantum system
  • C. Calculating the unitary matrix of the quantum gates in the circuit
  • D. Simulating the ideal behavior of a quantum system

Answer: A


NEW QUESTION # 39
Choose what value the below circuit will return?
q = QuantumRegister(2,'q')
qc = QuantumCircuit(q)
qc.h(q[0:2])

  • A.
  • B. [0.7071 0.701 0.701 0.701]
  • C. Error
  • D. {'00':25, '01':23, '10':26 '11': 26}

Answer: A


NEW QUESTION # 40
How is the statevector of a quantum circuit typically visualized using plot_statevector() in Qiskit?

  • A. Through a 3D visualization of qubit entanglement
  • B. As a line plot representing qubit states
  • C. Using a scatter plot indicating qubit connectivity
  • D. As a bar chart displaying quantum gate operations

Answer: B


NEW QUESTION # 41
What would be the fidelity result(s) for these two operators, which differ only by global phase?
op_a = Operator(XGate())
op_b = numpy.exp(1j * 0.5) * Operator(XGate())

  • A. state_fidelity() and average_gate_fidelity() of 1.0
  • B. state_fidelity() of 1.0
  • C. state_fidelity(), average_gate_fidelity() and process_fidelity() of 1.0
  • D. average_gate_fidelity() and process_fidelity() of 1.0

Answer: D


NEW QUESTION # 42
What information is typically depicted in the histogram visualization of measurement outcomes in quantum computing?

  • A. Error rates and correction details
  • B. Probabilities of obtaining specific classical bit values
  • C. Statevector amplitudes of qubits
  • D. Quantum gate operations

Answer: B


NEW QUESTION # 43
Which type of information is typically displayed when utilizing the show_configuration() function in Qiskit?

  • A. User-specific configurations for quantum simulations
  • B. Quantum job configurations and setup details
  • C. Visualization of quantum gates in a circuit
  • D. Displaying quantum device status and errors

Answer: B


NEW QUESTION # 44
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