IBM Certification C1000-112 Exam Free Dumps

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C1000-112 exam is required to earn IBM Certified Associate Developer – Quantum Computation using Qiskit v0.2X certification. There are 60 questions in the real IBM Certification C1000-112 exam, and you have 90 minutes to answer all the questions. The number of questions required to pass the IBM C1000-112 exam is 44. The available language is English. The exam price is $200. We provide the latest IBM Certification C1000-112 exam dumps, which can ensure you pass. Free Fundamentals of Quantum Computation Using Qiskit v0.2X Developer C1000-112 exam dumps are available below.

Page 1 of 8

1. Which of the below statements plots how the qubits are connected in the ibmq_santiago system?

A)

Option A

Option B

Option C

Option D

2. Which of the following multi qubit-gate represents the controlled-z gate?

A)

Option A

Option B

Option C

Option D

3. Which one of the below statements is invalid when drawing the quantum circuit?

qc.draw(output='mpl')

qc.draw(output='text')

qc.draw(output='latex')

qc.draw(output='png')

4. What fundamental property of classical information is distinctly different in quantum information?

Deterministic encoding

Limited storage capacity

Non-locality and superposition

Binary representation

5. What is the role of the Toffoli gate in a quantum circuit?

Reverses the state of a qubit

Acts as a controlled-controlled-NOT gate

Implements a phase shift on qubits

Creates entanglement between qubits

6. How are measurement results represented in quantum computing?

As a single number output

As a probability distribution of classical bit values

As a complex matrix of qubit states

As a combination of classical and quantum bits

7. What are the eigenvalues and eigenvectors of X-gate?

±1 and |+> , |->

-1,+1 and |+> , |->

±1 and |0> , |1>

1,0 and |+> , |1>

8. What is the function of a SWAP gate in a quantum circuit?

Negate the state of qubits

Exchange the amplitudes of qubits

Swap the state of two qubits

Apply a controlled phase shift

9. Which of the following command will be used to monitor the status of the job?

job1 = execute(qc,backend)

job_monitor(job1)

job_status(job1)

job_watch(job1)

job_result(job1)

10. What Qiskit function is primarily used to display information about noise models and quantum errors affecting a device?

plot_error_details()

display_error_information()

show_error_map()

visualize_noise_models()

Page 2 of 8

11. In classical information theory, information is stored in bits.

What is the quantum analogue to a bit?

Qubit

Quark

Quantum gate

Quantum byte

12. How does the Aer provider contribute to quantum computing experiments?

It facilitates direct execution on quantum hardware

It provides simulators for quantum circuit simulation

It offers error correction for noisy quantum devices

It enables visualization of quantum gates

13. 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)

A)

Option A

Option B

Option C

Option D

Option E

14. What is the resultant gate when we apply three Hadamard gates (in series) in the single-qubit circuit?

I-gate

H-gate

X-gate

Y-gate

15. In the below QuantumCircuit, how many Qubits are there?

bob = QuantumRegister(8,'b')

alice = ClassicalRegister(2,'a')

eve = QuantumRegister(4,'e')

qc = QuantumCircuit(bob,alice,eve)

16. What role does post-processing play in interpreting quantum experiment results?

Correcting errors in the quantum gates

Optimizing quantum circuits for faster computation

Filtering out unwanted quantum states

Analyzing and interpreting measurement outcomes

17. Which quantum algorithm is primarily used for searching an unsorted database?

Shor's algorithm

Grover's algorithm

Deutsch-Jozsa algorithm

Simon's algorithm

18. In quantum computing, what does a histogram of measurement outcomes represent?

The distribution of entangled qubit states

The number of gates applied in the circuit

The probability of obtaining each classical bit value

The representation of qubit error rates

19. What information does the Bloch sphere visualization provide in quantum computing?

The probability amplitudes of qubits

A graphical representation of quantum circuits

A display of gate errors and noise in quantum systems

Connectivity details of quantum hardware

20. What is the equivalent phase of the phase gate when it is Z-gate?

π/4

π/2

π/8

Page 3 of 8

21. Which of the following command results in densitymatrix output of the below Quantum Circuit?

import qiskit.quantum_info as qi

bell = QuantumCircuit(2)

bell.h(0)

bell.cx(0,1)

A)

Option A

Option B

Option C

Option D

22. How do the principles of uncertainty in quantum mechanics affect information encoding?

They allow for absolute certainty in information transmission

They impose limitations on simultaneous knowledge of certain pairs of properties

They have no impact on information encoding

They make quantum information more predictable than classical information

23. What is the primary advantage of using BasicAer simulators in Qiskit?

Execution on actual quantum hardware

Fast and efficient simulation of quantum circuits

Higher qubit capacity compared to other simulators

Simulating quantum error correction codes

24. What does Qasm stand for in quantum computing?

Quantum Asymmetric Simulation Model

Quantum Assembler

Quantum Assembly Language

Quantum Algorithmic Solver

25. What code fragment codes the equivalent circuit if you remove the barrier in the following QuantumCircuit?

qc = QuantumCircuit(1,1) qc.h(0) qc.s(0) qc.h(0) qc.measure(0,0)

qc = QuantumCircuit(1,1) qc.measure(0,0)

qc = QuantumCircuit(1,1) qc.h(0) qc.t(0) qc.tdg(0) qc.h(0) qc.measure(0,0)

qc = QuantumCircuit(1,1) qc.h(0) qc.z(0) qc.h(0) qc.measure(0,0)

26. In Qiskit, what function allows users to display a list of available backends for quantum computation?

show_backends()

list_quantum_devices()

display_backends()

available_backends()

27. Which of the following is the best option to plot the |+> basis in plot_bloch_vector?

plot_bloch_vector([0,1,0])

plot_bloch_vector([1,0,0])

plot_bloch_vector([0,0,1])

plot_bloch_vector([0,0.5,0])

28. Which tool is commonly used to simulate quantum circuits and execute experiments in a software environment?

Qiskit Aer

Quantum Assembly Language (QASM)

IBM Quantum Experience

Q# Programming Language

29. Which of the following statements best describes the role of Qasm in programming quantum circuits?

Qasm describes classical computations that support quantum circuits

Qasm provides a way to visualize quantum circuit execution

Qasm describes the sequence of quantum operations in a circuit

Qasm is a programming language used for quantum hardware communication

30. Which programming paradigm best aligns with Qasm in the context of quantum computing?

Procedural programming

Object-oriented programming

Imperative programming

Domain-specific language programming

Page 4 of 8

31. Which quantum logic gate is commonly used to create entangled states?

Hadamard gate

CNOT gate

Pauli-X gate

Toffoli gate

32. Which Qiskit function is used to visualize the statevector of a quantum circuit?

plot_statevector()

display_quantum_statevector()

visualize_state()

draw_statevector()

33. What feature differentiates the Aer provider's simulators from other backends in Qiskit?

The ability to execute directly on IBM Quantum Experience

Access to classical computing resources

Specialized quantum error correction capabilities

Tailored, high-performance quantum simulations

34. What Qiskit component enables simulation of quantum systems, including noise models and backends?

Qiskit Ignis

Qiskit Terra

Qiskit Aer

Qiskit Aqua

35. What kind of information does the statevector_simulator provide about a quantum circuit?

The final state vector of the quantum system after the circuit execution

The unitary matrix representing the quantum gates in the circuit

The noise model affecting the quantum operations

The measurement outcomes of the qubits

36. Which code fragment will produce a maximally entangled, or Bell, state?

bell = QuantumCircuit(2) bell.h(0) bell.x(1) bell.cx(0, 1)

bell = QuantumCircuit(2) bell.cx(0, 1) bell.h(0) bell.x(1)

bell = QuantumCircuit(2) bell.h(0) bell.x(1) bell.cz(0, 1)

bell = QuantumCircuit(2) bell.h(0) bell.h(0)

37. Which of the following statement will return a random state vector of dimension 2?

random_statevector_operator(2)

random_get_statevector(2)

random_statevector(2)

random_get_statevector_operator(2)

38. When applying a CNOT gate to two qubits, which qubit acts as the control and which one acts as the target?

The first qubit is the control, and the second qubit is the target

The second qubit is the control, and the first qubit is the target

It doesn't matter, as the CNOT gate is symmetric

Both qubits simultaneously act as control and target

39. In executing quantum experiments, what does "quantum volume" measure?

The number of qubits in a quantum circuit

The speed of quantum computations

The complexity of quantum algorithms

The overall performance and error rates of quantum hardware

40. In the Qiskit framework, which component is essential for studying and implementing methods to mitigate errors in quantum computation?

Qiskit Aqua

Qiskit Terra

Qiskit Ignis

Qiskit Aer

Page 5 of 8

41. What will be the output of the result variable in the below snippet?

q = QuantumRegister(1,'q')

qc = QuantumCircuit(q)

qc.y(0)

backend_unitary = BasicAer.get_backend('unitary_simulator')

result = execute(qc,backend_unitary).result().get_unitary(decimals=3)

A)

42. Which of the following code snippet for the below quantum circuit will put the given qubits in a equiprobable states?

qc=QuantumCircuit(2)

qc.h(0) qc.cx(0,1)

qc.h(0) qc.h(1)

qc.x(0) qc.h(0) qc.cx(0, 1)

qc.h(0) qc.x(1) qc.cx(0,1)

43. S-gate is a Qiskit phase gate with what value of the phase parameter?

π/8

π/4

π/2

44. 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())

state_fidelity() of 1.0

state_fidelity() and average_gate_fidelity() of 1.0

average_gate_fidelity() and process_fidelity() of 1.0

state_fidelity(), average_gate_fidelity() and process_fidelity() of 1.0

45. If we have n qubits, how many states can we represent maximum?

n^2

2^n

2^n - 1

46. What type of information does Qasm provide regarding quantum circuits?

Details about the execution time of the circuit

Descriptions of classical computations within the quantum circuit

Specifications of quantum gates, qubit interactions, and measurements

Quantum error rates and correction techniques

47. Which Qiskit component provides access to the Aer provider for quantum simulation?

Qiskit Ignis

Qiskit Terra

Qiskit Aer

Qiskit Aqua

48. Which quantum gate is commonly used for reversing a quantum operation?

T gate

CNOT gate

Pauli-X gate

Hadamard gate

49. Please choose the correct identities applicable:

(Select 2)

HXH = Z

HYH = X

HZH = X

ZXZ = Z

ZYZ = H

50. Which code fragment would yield an operator that represents a single-qubit X gate?

op = Operator.Xop(0)

qc = QuantumCircuit(1) qc.x(0) op = Operator(qc)

op = Operator([[0,1]])

op = Operator([[1,0,0,1]])

Page 6 of 8

51. What is the function of noise models in quantum simulators?

Introduce errors and simulate real-world quantum hardware behavior

Minimize errors and produce ideal quantum states

Enable faster execution of quantum algorithms

Provide additional qubit capacity for larger simulations

52. Predict the output of the average_gate_fidelity, process_fidelity of the below snippet:

a = Operator(XGate())

b = np.exp(1j /3) * a

average_gate_fidelity(a,b)

process_fiedlity(a,b)

average_gate_fidelity will be 0.5 and process_fidelity will be 1.0

average_gate_fidelity will be 1.0 and process_fidelity will be 0.5

average_gate_fidelity will be 1.0 and process_fidelity will be 1.0

average_gate_fidelity will be 0 and process_fidelity will be 0.5

53. Which of the following commands will result in |i> basis state?

i.e. |i> = 1/ √ 2(|0 〉 +i|1 〉 )

H-gate followed by Z-gate

Z-gate followed by H-gate

H-gate followed by S-gate

H-gate followed by Y-gate

54. What is barrier instruction between the H-gates in the below quantum circuit do?

It joins both H-gates and executes them.

It won't simplify the circuit between the two H-gates

It is used for better circuit visualization

It is used for circuit optimization

55. What does the Bloch sphere represent in quantum computing?

A visual representation of a qubit's state

A quantum error correction technique

A type of quantum algorithm

A quantum encryption method

56. What is the primary function of the Aer provider in Qiskit?

Visualizing quantum circuits

Providing access to quantum devices

Offering quantum algorithmic solutions

Supplying high-performance quantum simulators

57. Which Python package provides BasicAer simulators in Qiskit?

qiskit.quantum

qiskit.aer

qiskit.tools

qiskit.sim

58. Which of the following missing statement return the depth of the following quantum circuit?

q = QuantumRegister(3)

c = ClassicalRegister(3)

qc = QuantumCircuit(q,c)

qc.h(q[0:3])

qc.x(q[0:3])

qc.z(q[0:3])

qc.draw(output='mpl')

### missing statement to return the depth of the circuit

qc.size()

qc.path()

qc.depth()

qc.depth_display()

59. What does the quantum operation SWAP do?

Exchanges the phase of qubits

Exchanges the amplitudes of qubits

Exchanges the states of two qubits

Implements quantum error correction

60. What is the output of the result in the below snippet?

ghz = QuantumCircuit(3)

ghz.x(0)

ghz.h(0)

ghz.cx([0,0],[1,2])

ghz.measure_all()

backend_qasm = BasicAer.get_backend('qasm_simulator')

job = execute(ghz, backend_qasm,shots=1024)

result = job.result().get_counts()

{'111': 300, '000': 724}

{'100': 514, '010': 510 }

{'100': 253 , '010': 261 , '111': 253, '000': 261}

{'000': 512, '111':512}

Page 7 of 8

61. In a quantum circuit, what does applying a controlled-U gate mean?

Applying an unknown quantum operation

Applying a controlled phase shift operation

Performing an unconditional operation on a qubit

Implementing a controlled NOT operation

62. Which of the following bloch_multivector plot options given below is the correct one for the given bell quantum circuit?

bell = QuantumCircuit(2)

bell.h(0)

bell.cx(0,1)

A)

Option A

Option B

Option C

Option D

63. What is the command used to retrieve the last run job from a backend?

backend.jobs()[0]

backend.jobs()[-1]

backend.retrieve_job()[0]

backend.retrieve_job()[1]

64. Which of these would execute a circuit on a set of qubits which are coupled in a custom way?

from qiskit import QuantumCircuit, execute, BasicAer

backend = BasicAer.get_backend('qasm_simulator')

qc = QuantumCircuit(2)

# insert code here

execute(qc, backend, shots=1024, coupling_map=[[0,1], [1,2]])

execute(qc, backend, shots=1024, custom_topology=[[0,1],[2,3]]

execute (qc, backend, mode="custom")

execute(qc, backend, shots=1024, device="qasm_simulator", mode="custom")

65. What is the purpose of executing a quantum experiment on a simulator?

To study the behavior of classical algorithms

To validate quantum algorithms using classical computing resources

To measure the performance of quantum hardware

To generate random numbers efficiently

66. In our quantum circuit, we have a single qubit. and it is initialized to |0 〉 state. which of the following quantum gates operation gives the same output state |0 〉 ?

(select any 3)

HSH

HYH

HZH

67. Which quantum algorithm is commonly used to find factors of large composite numbers efficiently?

Grover's algorithm

Shor's algorithm

Bernstein-Vazirani algorithm

Deutsch-Jozsa algorithm

68. Given this code, which two inserted code fragments result in the state vector represented by this Bloch sphere?

qc = QuantumCircuit(1,1)

# Insert code fragment here

simulator = Aer.get_backend('statevector_simulator')

job = execute(qc, simulator)

result = job.result()

outputstate = result.get_statevector(qc)

plot_bloch_multivector(outputstate)

qc.h(0)

qc.rx(math.pi / 2, 0)

qc.ry(math.pi / 2, 0)

qc.rx(math.pi / 2, 0) qc.rz(-math.pi / 2, 0)

qc.ry(math.pi, 0)

69. Which of the following bloch_multivector plot options given below is the correct one for the given bell quantum circuit?

qc = QuantumCircuit(2)

qc.x(0)

qc.h(0)

qc.h(1)

A)

Option A

Option B

Option C

Option D

70. Which two options would place a barrier across all qubits to the QuantumCircuit below?

qc = QuantumCircuit(3,3)

qc.barrier(qc)

qc.barrier([0,1,2])

qc.barrier()

qc.barrier(3)

qc.barrier_all()

Page 8 of 8

71. What characteristic of quantum information poses a challenge to traditional cryptography systems?

High error rates in quantum systems

Quantum tunneling effect

Quantum superposition

Quantum entanglement

72. What is the advantage of using the Aer provider's simulators over real quantum hardware?

Simulators provide faster execution times

Real hardware offers higher accuracy in results

Simulators allow for larger qubit capacities

Real hardware ensures better noise reduction

73. In quantum computing, what does the term "quantum supremacy" refer to?

Achieving ultimate quantum error correction

Superior speed of quantum computers over classical ones

Ability to create quantum entanglement

Advanced quantum cryptography techniques

74. Which kind of quantum simulation does the Aer provider primarily offer?

Classical bit-level simulation

Ideal, noise-free quantum circuit simulation

Simulation of quantum entanglement states

High-level programming language simulations

75. Which three simulators are available in BasicAer?

qasm_simulator

basic_qasm_simulator

statevector_simulator

unitary_simulator

quantum_simulator

quantum_circuit_simulator

IBM Certification C1000-112 Exam Free Dumps

IBM Certification C1000-112 Exam Free Dumps

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