Actual C1000-112 Test Prep is Attributive Practice Questions to High-Efficient Learning

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IBM C1000-112 Exam is also designed to test the candidate's ability to use Qiskit, an open-source framework for developing quantum applications. C1000-112 exam covers topics such as installing and configuring Qiskit, creating quantum circuits using Qiskit, and using Qiskit to simulate and execute quantum programs. By passing this certification exam, candidates demonstrate their ability to develop and implement quantum applications using Qiskit, which is a highly sought-after skill in the field of quantum computing.

IBM C1000-112 certification exam is a valuable credential for professionals who want to advance their careers in the field of quantum computing. It provides a recognized standard for measuring an individual's knowledge and skills in the fundamental concepts of quantum computing and their ability to work with Qiskit. Fundamentals of Quantum Computation Using Qiskit v0.2X Developer certification exam also demonstrates to employers that the candidate is committed to keeping up with the latest developments in this rapidly evolving field and has the technical expertise to work on quantum computing projects.

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IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions (Q78-Q83):

NEW QUESTION # 78
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 # 79
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]

Answer: A,D

NEW QUESTION # 80
Which of the following statement runs the below quantum circuit 1024 times and display the results in a list that contains the probabilities of states? (Select only 2) qc = QuantumCircuit(2,2) qc.h(0) qc.t(0) qc.t(0) qc.h(0)

Answer: A,C

NEW QUESTION # 81
When executing experiments on real quantum hardware, what is a significant challenge that simulators help address?

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

Answer: D

NEW QUESTION # 82
We have two quantum circuits snippets and figures shown below:
qc = QuantumCircuit(3)
qc.h(0)
qc.z(0)
qc.x(1)
qc.cx(0,1)
qc.y(1)
qc.x(2)
qc.h(2)
qc.barrier()
qc.draw(output='mpl')

qft = QuantumCircuit(2)
qft.ry(math.pi / 2, 0)
qft.s(0)
qft.h(1)
qft.draw(output='mpl')

Out of the below-mentioned options, which option suits best for getting the below output of the circuit new_qc?

Answer: C

NEW QUESTION # 83
......

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Actual C1000-112 Test Prep is Attributive Practice Questions to High-Efficient Learning

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IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions (Q78-Q83):

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