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C1000-112 dumps questions can help you identify areas where you need to focus your studies. As you answer questions, you will be able to see which topics you are comfortable with and which ones you need to spend more time studying. IBM C1000-112 dumps questions provide realistic practice for the certification exam. C1000-112 dumps are designed to simulate the actual exam environment, and they will give you a chance to practice answering questions under time pressure. Study free IBM C1000-112 online dumps below.

Page 1 of 8

1. Given Quantum Circuit

qc= QuantumCircuit(2)

qc.h(0)

qc.h(1)

to run the above quantum circuit 512 times in the qasm_simulator, choose the best option in the given below?

A)

Option A

Option B

Option C

Option D

2. Which quantum gate is equivalent to classical NOT-gate?

X-gate

Y-gate

Z-gate

H-gate

3. How does the function draw_circuit() in Qiskit represent quantum gates in a circuit?

Using a textual format

As graphical images of gates and connections

Through a list of gate operations

As a series of mathematical equations

4. 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

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

Qiskit Ignis

Qiskit Terra

Qiskit Aer

Qiskit Aqua

6. How is the number of available quantum devices typically displayed in Qiskit?

Through a graphical user interface

Using a command-line interface

Via a Jupyter notebook output

As a separate downloadable file

7. 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

8. 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

9. In the circuit given below having unitary simulator as the backend, choose the _missing_element_from the options?

qc = QuantumCircuit(1)

qc.h(0)

backend_unitary = BasicAer.get_backend('unitary_simulator')

result = execute(qc,backend_unitary).result()._missing_element_

get_unitary()

get_unitary_matrix()

get_unitary_result()

get_unitary_simulator()

10. Which technique is commonly used to extract meaningful information from the measurement outcomes in quantum experiments?

Statistical analysis

Quantum gate optimization

Quantum entanglement mapping

Quantum error correction

Page 2 of 8

11. 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()

12. What is the depth of the below quantum circuit?

13. 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}

14. 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()

15. What does Qasm stand for in quantum computing?

Quantum Asymmetric Simulation Model

Quantum Assembler

Quantum Assembly Language

Quantum Algorithmic Solver

16. Which of the following commands will convert the below quantum circuit to qasm string?

qc = QuantumCircuit(2,2)

qc.h(0)

qc.h(1)

qc.qasm_simulator()

qc.qasm_str()

qc.qasm()

qc.from_qasm()

17. 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

18. Given this code fragment, which output fits most closely with the measurement probability distribution?

qc = QuantumCircuit(2, 2)

qc.x(0)

qc.measure([0,1], [0,1])

simulator = Aer.get_backend('qasm_simulator')

result = execute(qc, simulator, shots=1000).result()

counts = result.get_counts(qc)

print(counts)

{'00': 1000}

{'01': 1000}

{'10': 1000}

{'11': 1000}

19. When executing experiments on real quantum hardware, what is a significant challenge that simulators help address?

Quantum hardware lacks the capability to perform experiments

Quantum hardware is affected by decoherence and errors

Quantum hardware cannot execute Grover's algorithm

Quantum hardware has limited connectivity between qubits

20. Which method allows accessing the Aer provider's simulators in Qiskit?

get_aer_simulators()

access_aer_provider()

retrieve_simulator_list()

list_aer_backends()

Page 3 of 8

21. What advantage does the Aer provider's simulators offer for researchers and developers?

High-level abstraction from the quantum algorithms

Direct access to quantum cloud services

Cost-effective and faster testing of quantum algorithms

Execution of algorithms with quantum error correction codes

22. 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

23. Which quantum gate is used for creating superposition?

Pauli-Z gate

Phase gate

Hadamard gate

T gate

24. What is the output of the given state in qiskit after applying CNOT to it?

1/ √ 2|00> + 1/2|10> - 1/2|11>

1/ √ 2|00> + 1/2|11> - 1/2|10>

1/ √ 2|00> + 1/2|10> - 1/2|11>

1/ √ 2|01> + 1/2|01> - 1/2|11>

1/ √ 2|00>

25. What information is typically shown when using show_error_map() in Qiskit?

Details about gate errors and noise models

Visualization of qubit connectivity in a quantum device

Error rates in classical computations

Details on environmental noise affecting quantum circuits

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

What is the quantum analogue to a bit?

Qubit

Quark

Quantum gate

Quantum byte

27. Which of the below API returns the random unitary of dimension 2?

random_get_unitary(2)

random_unitary(2)

random_get_unitary_matrix(2)

random_get_unitary_state(2)

28. What is the primary advantage of quantum information processing over classical information processing?

Quantum information is always error-free

Classical information can hold more data than quantum information

Quantum information enables parallel processing and superposition

Classical information is more secure than quantum information

29. 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])

30. Given Quantum Circuit

qc= QuantumCircuit(2)

qc.h(0)

qc.cx(0,1)

to run the above quantum circuit for 2000 times in the qasm_simulator, choose the best option in the given below?

A)

Option A

Option B

Option C

Option D

Page 4 of 8

31. In which scenarios would using noise_model_simulator in BasicAer be beneficial?

When examining the ideal behavior of quantum circuits

When verifying the unitary matrix of a quantum gate

When evaluating the effects of noise on quantum computations

When measuring qubits in a circuit

32. Which of the following statement will convert the below qasm file to a Quantum circuit qc?

myfile.qasm

OPENQASM 2.0;

include "qelib1.inc";

qreg q[2];

h q[0];

h q[1];

s q[0];

s q[1];

qc = QuantumCircuit.from_file('myfile.qasm')

qc = QuantumCircuit.from_qasm_file('myfile.qasm')

qc = QuantumCircuit.read('myfile.qasm')

qc = QuantumCircuit.qasm_read('myfile.qasm')

33. 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')

34. To return the individual list of measurement outcomes for each individual shot (provided the backend supports it) which argument needs to be set to true in the execute function?

memory

memory_shots

shots_status

single_shot

35. 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()

36. Which statement will create a quantum circuit with five quantum bits and seven classical bits?

QuantumCircuit(5,7)

QuantumCircuit(7)

QuantumCircuit([5, 7])

37. Which Python package provides BasicAer simulators in Qiskit?

qiskit.quantum

qiskit.aer

qiskit.tools

qiskit.sim

38. In the below code, which of the following statement is non-unitary?

qc= QuantumCircuit(2,2)

qc.x(0)

qc.y(1)

qc.z(1)

qc.measure([0,1],[0,1])

qc.x(0)

qc.y(1)

qc.z(1)

qc.measure([0,1],[0,1])

39. What is the significance of the no-cloning theorem in quantum computing?

It prohibits the exact copying of an unknown quantum state

It allows for the duplication of qubits in quantum circuits

It prevents errors during quantum teleportation

It describes the principles of quantum superposition

40. 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

Page 5 of 8

41. What is the primary purpose of visualizing quantum circuits and states in quantum computing?

To create artistic representations of quantum algorithms

To simplify complex mathematical concepts in quantum computing

To aid in understanding and analyzing quantum operations and their results

To replace textual representations of quantum gates with graphical illustrations

42. 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)

43. 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

44. Predict the state vector output of the below quantum circuit?

qc= QuantumCircuit(3)

qc.h(0)

qc.cx([0,0],[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)

Option A

Option B

Option C

Option D

45. What is the purpose of using Qasm in quantum computing?

Writing classical algorithms for quantum computers

Assembling classical bits into quantum bits

Describing quantum circuits and operations

Implementing quantum error correction codes

46. In the quantum circuit, choose the best option to display the plot given below?

qc= QuantumCircuit(3)

qc.h(0)

qc.x(1)

qc.cx(0,1)

qc.h(2)

qc.cx(1,2)

qc.measure_all()

backend_qasm = BasicAer.get_backend('qasm_simulator')

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

result = job.result().get_counts()

47. Predict the output if the following famous GHZ-circuit is measured and simulated for 100 times?

{'001': 49, '000': 51}

{'000': 48, '111': 52}

{'100': 51, '000': 49}

{'000': 24, '001': 25, '010': 26, '111': 25}

48. Which of the following options will be best suited for the missing statement in the below snippet to achieve the quantum state i|10 〉 ?

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, Aer

qc= QuantumCircuit(2,2)

#missing statement

qc.z(1) qc.x(1)

qc.y(1)

qc.y(0)

qc.s(0) qc.x(0)

49. Which function in Qiskit is commonly used to visualize the histogram of measurement outcomes in a quantum experiment?

draw_histogram()

display_measurement_results()

plot_experiment_results()

visualize_measurement_outcomes()

50. 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

Page 6 of 8

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

Deterministic encoding

Limited storage capacity

Non-locality and superposition

Binary representation

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

q1 = QuantumRegister(7,'q1')

q2 = ClassicalRegister(2,'q2')

q3 = QuantumRegister(5,'q3')

qc = QuantumCircuit(q1,q2,q3)

53. Which gate is used to perform a controlled phase shift on a qubit, conditioned on the state of another qubit?

T gate

Pauli-Z gate

Phase gate

Controlled-S gate

54. 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

55. 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

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

Procedural programming

Object-oriented programming

Imperative programming

Domain-specific language programming

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

Qiskit Ignis

Qiskit Terra

Qiskit Aer

Qiskit Aqua

58. 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

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

π/4

π/2

π/8

60. 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 7 of 8

61. 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?

|0>

|1>

1 √ 2(|0>+|1>)

-|1>

1 √ 2(|0>-|1>)

62. 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

63. Which code fragment will produce a multi-qubit gate other than a Toffoli?

qc.ccx(0,1,2)

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

from qiskit.circuit.library import CXGate ccx = CXGate().control() qc.append(ccx, [0,1,2])

qc.cry(0,1,2)

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

π/8

π/4

π/2

65. Which statement will combine the two given quantum circuits and result will be the final output?

q = QuantumRegister(2,'q')

qc1 = QuantumCircuit(q)

qc1.h(q[0:2])

qc1.s(q[0:2])

qc1.draw(output='mpl')

Quantum Circuit 1

q = QuantumRegister(2,'q')

qc2 = QuantumCircuit(q)

qc2.h(q[0:2])

qc2.x(q[0:2])

Quantum Circuit 2

Final output

add(qc1,qc2).draw(output='mpl')

combine(qc1,qc2).draw(output='mpl')

(qc1+qc2).draw(output='mpl')

add(qc1+qc2).draw(output='mpl')

66. Which of the following quantum states are entangled?

(Select any 3)

1/ √ 2 |01> + 1/ √ 2|10>

1/ √ 2 |00> + 1/ √ 2|10>

1/ √ 2 |00> + 1/ √ 2|11>

1/ √ 2 |11> + 1/ √ 2|10>

1/2|00> + 1/2|01>+ 1/2|10> - 1/2|11>

1/ √ 2 |00> - 1/ √ 2|11>

67. In the given circuit what are the possible ways to measure the quantum register using the classical register? (Select 2)

q = QuantumRegister(3)

c = ClassicalRegiser(3)

qc = QuantumCircuit(q,c)

qc.h(0)

qc.cx(0,1)

qc.cx(0,2)

qc.barrier()

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

qc.measure_all()

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

qc.measure(q,c)

qc.measure(0,1,2)

68. Which aspect of quantum circuits does Qasm primarily focus on?

Handling classical data operations

Managing quantum error correction

Describing quantum gate sequences and qubit operations

Visualizing qubit states

69. 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([-1,0,0])

plot_bloch_vector([0,0,-1])

70. 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

Page 8 of 8

71. 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

72. Which of the simulator given below should be used for getting the results in the list which displays the probabilities of the state?

unitary_simulator

qasm_simulator

statevector_simulator

73. What is the significance of obtaining measurement outcomes in quantum computing experiments?

They reveal the number of gates in a quantum circuit

They show the entanglement levels between qubits

They provide information about the final quantum states

They indicate the level of quantum noise in the system

74. In quantum computing, what is the primary method for retrieving results from a quantum experiment?

Direct measurement of qubit states

Analyzing quantum gates in the circuit

Evaluating quantum error correction codes

Simulating the quantum circuit on a classical computer

75. Which line of code would assign a qasm simulator object to the variable backend?

backend = BasicAer.get_backend('qasm_simulator')

backend = BasicAer.QasmSimulatorPy()

backend = BasicAer.get_back('qasm_simulator')

backend = BasicAer.get_back_qasm_simulator()

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