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Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Practice Test

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IBM
C1000-112
Fundamentals of Quantum Computation Using Qiskit v0.2X
Developer
https://killexams.com/pass4sure/exam-detail/C1000-112
Question: 1
Which method is used to display system information such as the available
backends in Qiskit?
A. get_backend
B. show_system_info
C. get_system_info
D. available_backends
Answer: D
Explanation: The available_backends method in Qiskit is used to display
system information, specifically the list of available backends (simulators or
real devices) that can be used to execute quantum circuits. It returns a list of
backend objects that can be further inspected or used for execution. Therefore,
the correct answer is D) available_backends.
Question: 2
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. 0.5
B. Error in executing state_fidelity
C. 0
D. 1.0
Answer: D
Explanation: The given code initializes a quantum circuit qc with a desired
state obtained from desired_state. The circuit is then executed using the
statevector_simulator backend obtained from BasicAer. The state vector
obtained from the execution is stored in qc_sv. Finally, the state_fidelity
function is used to compare the desired state with the obtained state vector.
Since the desired state is initialized correctly in the circuit, the fidelity between
the desired state and the obtained state vector should be 1.0, indicating a perfect
match. Therefore, the correct answer is D) 1.0.
Question: 3
Which module in Qiskit is used to implement QASM (Quantum Assembly
Language) code?
A. qiskit.ignis
B. qiskit.aqua
C. qiskit.transpiler
D. qiskit.qasm
Answer: D
Explanation: The qiskit.qasm module in Qiskit provides functionality to work
with QASM, which is a low-level quantum assembly language used to describe
quantum circuits. It offers features such as parsing, generation, and
manipulation of QASM code. Therefore, the correct answer is D) qiskit.qasm.
Question: 4
Which module in Qiskit is commonly used for constructing visualizations of
quantum circuits?
A. qiskit.circuit
B. qiskit.visualization
C. qiskit.compiler
D. qiskit.transpiler
Answer: B
Explanation: The qiskit.visualization module in Qiskit provides functionality
for constructing visualizations of quantum circuits. It includes methods to
create circuit diagrams, statevectorvisualizations, and other visual
representations of quantum circuits. It is commonly used to generate
visualizations for better understanding and analysis of quantum circuits.
Therefore, the correct answer is B) qiskit.visualization.
Question: 5
Which Qiskit tool is commonly used for circuit visualization and plotting?
A. Qiskit Terra
B. Qiskit Aqua
C. Qiskit Ignis
D. Qiskit Visualization
Answer: A
Explanation: The Qiskit Terra module in Qiskit provides tools and functionality
for working with quantum circuits. It includes various features for circuit
visualization, plotting, and analysis. It allows users to visualize circuits using
different styles and formats, making it a commonly used tool for circuit
visualization in Qiskit. Therefore, the correct answer is A) Qiskit Terra.
Question: 6
When comparing and contrasting quantum information, which of the following
aspects is typically considered?
A. Entanglement
B. Classical encryption
C. Bit manipulation
D. Quantum teleportation
Answer: A
Explanation: When comparing and contrasting quantum information, one of the
key aspects that is typically considered is entanglement. Entanglement is a
fundamental feature of quantum mechanics, where two or more quantum
systems become correlated in such a way that the state of one system cannot be
described independently of the others. It plays a crucial role in various quantum
information processing tasks and distinguishes quantum information from
classical information. Therefore, the correct answer is A) Entanglement.
Question: 7
Which backend in Qiskit is commonly used for simulating quantum circuits
using Python-based simulators?
A. BasicAer
B. IBMQ
C. Aer
D. QuantumCircuit
Answer: A
Explanation: The BasicAer module in Qiskit provides a collection of Python-
based simulators for simulating quantum circuits. It includes simulators for
statevector simulation, unitary simulation, and more. These simulators are
commonly used for testing and debugging quantum circuits without requiring
access to real quantum hardware. Therefore, the correct answer is A) BasicAer.
Question: 8
Which method is used to retrieve the measurement results from a quantum
experiment in Qiskit?
A. get_statevector
B. get_counts
C. get_backend
D. get_job_status
Answer: B
Explanation: The get_counts method is used in Qiskit to retrieve the
measurement results from a quantum experiment. After executing a quantum
circuit, the measurement outcomes are recorded, and the get_counts method
allows us to access the frequency of each measurement outcome. It returns a
dictionary where the keys represent the measurement outcomes and the values
represent the corresponding counts. Therefore, the correct answer is B)
get_counts.
Question: 9
Which method is used to measure the expectation value of an observable in
Qiskit?
A. measure_all
B. execute
C. bind
D. run
Answer: B
Explanation: The execute method in Qiskit is used to run a quantum circuit or
experiment. It allows us to specify the backend (simulator or real device) on
which the circuit should be executed. By executing a circuit, we obtain a result
object, which can be used to access various information about the execution,
including the expectation value of an observable. Therefore, the correct answer
is B) execute.
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