C1000-112 Braindumps PDF, IBM C1000-112 Exam Cram [Q149-Q170] | TestBraindump

C1000-112 Braindumps PDF, IBM C1000-112 Exam Cram [Q149-Q170]

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C1000-112 Braindumps PDF, IBM C1000-112 Exam Cram

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IBM C1000-112 exam is an important certification for developers who want to work on quantum computing projects. It validates their knowledge and skills in quantum computing using Qiskit v0.2X and demonstrates their commitment to learning and professional development. Fundamentals of Quantum Computation Using Qiskit v0.2X Developer certification is recognized globally and can help candidates advance their careers in the field of quantum computing.

 

NEW QUESTION # 149
What is barrier instruction between the H-gates in the below quantum circuit do?

  • A. It won't simplify the circuit between the two H-gates
  • B. It is used for circuit optimization
  • C. It is used for better circuit visualization
  • D. It joins both H-gates and executes them.

Answer: A


NEW QUESTION # 150
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}

Answer: D


NEW QUESTION # 151
which of the following simulator can be as good as real IBM Quantum computer?

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

Answer: A


NEW QUESTION # 152
Given an empty QuantumCircuit object, qc, with three qubits and three classical bits, which one of these code fragments would create this circuit?

  • A. qc.measure_all()
  • B. qc.measure(0,1,2)
  • C. qc.measure([0,1,2], [0,1,2])
  • D. qc.measure([0,0], [1,1], [2,2])

Answer: C


NEW QUESTION # 153
In the quantum circuit, choose the best option to display the plot given below?
q = QuantumRegister(3,'q')
qc = QuantumCircuit(q)
qc.h(q[0:3])
qc.measure_all()
qasm_sim = BasicAer.get_backend('qasm_simulator')
result = execute (qc, qasm_sim). result ()
counts = result.get_counts()

  • A.
  • B.
  • C.
  • D.

Answer: A


NEW QUESTION # 154
Choose the Toffoli gate in the given options:

  • A.
  • B.
  • C.
  • D.

Answer: B


NEW QUESTION # 155
Which statement continues parsing filename as if the contents of the file were inserted at the location of the statement?

  • A. statement: qasm_parser "filename";
  • B. statement: include "filename";
  • C. statement: compile "filename";
  • D. statement: begin "filename";

Answer: B


NEW QUESTION # 156
When executing experiments on real quantum hardware, what is a significant challenge that simulators help address?

  • A. Quantum hardware is affected by decoherence and errors
  • B. Quantum hardware lacks the capability to perform experiments
  • C. Quantum hardware has limited connectivity between qubits
  • D. Quantum hardware cannot execute Grover's algorithm

Answer: A


NEW QUESTION # 157
What is the primary function of Qiskit Terra in quantum computing?

  • A. Simulating quantum circuits and executing experiments
  • B. Creating and managing quantum circuits and their operations
  • C. Executing quantum experiments on real hardware
  • D. Analyzing experimental results from quantum measurements

Answer: B


NEW QUESTION # 158
What kind of information does the statevector_simulator provide about a quantum circuit?

  • A. The unitary matrix representing the quantum gates in the circuit
  • B. The measurement outcomes of the qubits
  • C. The noise model affecting the quantum operations
  • D. The final state vector of the quantum system after the circuit execution

Answer: D


NEW QUESTION # 159
What is the role of the Toffoli gate in a quantum circuit?

  • A. Reverses the state of a qubit
  • B. Acts as a controlled-controlled-NOT gate
  • C. Implements a phase shift on qubits
  • D. Creates entanglement between qubits

Answer: B


NEW QUESTION # 160
In classical information theory, information is stored in bits.
What is the quantum analogue to a bit?

  • A. Quantum byte
  • B. Quantum gate
  • C. Qubit
  • D. Quark

Answer: C


NEW QUESTION # 161
What is the purpose of the qasm_simulator in BasicAer?

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

Answer: C


NEW QUESTION # 162
Which of the below option will implement an operator that represents a single qubit -gate?

  • A.
  • B. op = Operator([[0,i]])
  • C. op = Operator([[1,0,0,1]])
  • D. op = Operator([[i,0,0,i]])

Answer: A


NEW QUESTION # 163
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

Answer: A


NEW QUESTION # 164
In quantum computing, what is the significance of multiple measurements of the same qubit?

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

Answer: C


NEW QUESTION # 165
Predict the state vector output of the below quantum circuit?
qc= QuantumCircuit(3)
qc.h(0)
qc.z(0)
qc.x(1)
qc.cx(0,1)
qc.x(2)
qc.cx(1,2)
backend_sv = BasicAer.get_backend('statevector_simulator')
job = execute(qc, backend_sv,shots=1024)
result = job.result()
sv_ev = result.get_statevector(qc)

  • A.
  • B.
  • C.
  • D.

Answer: D


NEW QUESTION # 166
In the below quantum circuit, which statement should be added in the missing code to get the below desired state?
(select only 2)
qc = QuantumCircuit(3)
qc.h(0)
qc.cx([0,1],[1,2])
backend = BasicAer.get_backend('statevector_simulator')
job = execute(qc, backend, shots=1024)
result = job.result()
## Missing code
desired state: 1/sqrt(2) [1 0 0 0 0 0 0 1]

  • A.
  • B.
  • C.
  • D.
  • E.

Answer: C,D


NEW QUESTION # 167
Which of the following multi qubit-gate represents the controlled-z gate?

  • A.
  • B.
  • C.
  • D.

Answer: A


NEW QUESTION # 168
What is the command used to retrieve the last run job from a backend?

  • A. backend.retrieve_job()[0]
  • B. backend.jobs()[0]
  • C. backend.jobs()[-1]
  • D. backend.retrieve_job()[1]

Answer: B


NEW QUESTION # 169
In the single-qubit quantum circuit, we apply the operators H, X, X, H, X in order, where X and H are Not and Hadamard operators respectively. (assume the qubit is initialized to |0>) What is the final state of the quantum circuit?

  • A. |0>
  • B. 1√2(|0>-|1>)
  • C. |1>
  • D. -|1>
  • E. 1√2(|0>+|1>)

Answer: C


NEW QUESTION # 170
......


The IBM C1000-112 exam is designed to test the candidate's knowledge and skills in quantum computing concepts, programming languages, and the Qiskit v0.2X software. C1000-112 exam is divided into two sections - multiple-choice questions and hands-on coding challenges. The multiple-choice questions assess the candidate's knowledge of the theoretical concepts of quantum computing, while the hands-on coding challenges evaluate the candidate's practical skills in programming Qiskit v0.2X.


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.

 

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