AUTHORITATIVE IBM C1000-112 REVIEW GUIDE ARE LEADING MATERIALS & MARVELOUS C1000-112 VALID DUMPS EBOOK

Authoritative IBM C1000-112 Review Guide Are Leading Materials & Marvelous C1000-112 Valid Dumps Ebook

Authoritative IBM C1000-112 Review Guide Are Leading Materials & Marvelous C1000-112 Valid Dumps Ebook

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IBM certification C1000-112 exam can give you a lot of change. Such as work, life would have greatly improve. Because, after all, C1000-112 is a very important certified exam of IBM. But C1000-112 exam is not so simple.

To take the exam, a developer must have programming experience and knowledge of Python, and must be familiar with the basics of quantum computing, classical algorithms, and physics. C1000-112 Exam has a course module which can help developers enhance their knowledge, which involves hands-on-learning with Qiskit and the IBM Quantum Experience.

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IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions (Q72-Q77):

NEW QUESTION # 72
What is the primary advantage of using BasicAer simulators in Qiskit?

  • A. Higher qubit capacity compared to other simulators
  • B. Simulating quantum error correction codes
  • C. Fast and efficient simulation of quantum circuits
  • D. Execution on actual quantum hardware

Answer: C


NEW QUESTION # 73
Which quantum algorithm is commonly used to find factors of large composite numbers efficiently?

  • A. Bernstein-Vazirani algorithm
  • B. Grover's algorithm
  • C. Deutsch-Jozsa algorithm
  • D. Shor's algorithm

Answer: D


NEW QUESTION # 74
Select the Involutory gates in the below list of options? (Select 3)

  • A. X-gate
  • B. Y-gate
  • C. CPHASE-gate
  • D. T-gate
  • E. S-gate
  • F. H-gate

Answer: A,B,F


NEW QUESTION # 75
Which of the below API returns the random unitary of dimension 2?

  • A. random_unitary(2)
  • B. random_get_unitary(2)
  • C. random_get_unitary_state(2)
  • D. random_get_unitary_matrix(2)

Answer: A


NEW QUESTION # 76
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: D


NEW QUESTION # 77
......

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