View All C1000-112 Actual Exam Questions Answers and Explanations for Free Jan-2025
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IBM C1000-112 exam is a certification that is designed for developers who are interested in learning about the fundamental principles of quantum computing using Qiskit v0.2X. Qiskit is an open-source software development kit that is used to create quantum computing applications and simulations. C1000-112 exam is intended to test the candidate's knowledge and understanding of quantum computing concepts, as well as their ability to use Qiskit to develop and execute quantum algorithms.
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.
NEW QUESTION # 106
Which statement will create a quantum circuit with five quantum bits and seven classical bits?
- A.
- B. QuantumCircuit(5,7)
- C. QuantumCircuit([5, 7])
- D. QuantumCircuit(7)
Answer: B
NEW QUESTION # 107
Which component of Qiskit provides a high-level interface for quantum circuit creation and manipulation?
- A. Qiskit Ignis
- B. Qiskit Aqua
- C. Qiskit Terra
- D. Qiskit Aer
Answer: C
NEW QUESTION # 108
In classical information theory, information is stored in bits.
What is the quantum analogue to a bit?
- A. Quark
- B. Quantum byte
- C. Qubit
- D. Quantum gate
Answer: C
NEW QUESTION # 109
We have a two-qubit quantum circuit q1, q0 What is the matrix representation of CNOT (q1, q0) in the given options below?
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 110
How does Qasm contribute to the execution of quantum circuits in simulators or actual quantum hardware?
- A. It provides the instructions for simulating or executing quantum operations
- B. It translates quantum circuits into classical bits for execution
- C. It focuses on quantum gate optimization for faster computations
- D. It serves as a visual representation tool for quantum operations
Answer: A
NEW QUESTION # 111
What is the output of the below snippet?
qc = QuantumCircuit(q, c)
qc.h(q)
qc.reset(q[0])
qc.measure(q, c)
job = execute(qc, backend, shots=1024)
job.result().get_counts(qc)
- A. {'0':200, '1':824}
- B. {'0': 1024}
- C. {'0':500, '1':524}
- D. {'1':1024}
Answer: B
NEW QUESTION # 112
What is the usual output of a quantum measurement on a single qubit?
- A. An entangled qubit state
- B. A qubit in superposition
- C. A probability distribution
- D. A classical bit
Answer: D
NEW QUESTION # 113
How does the function draw_circuit() in Qiskit represent quantum gates in a circuit?
- A. As graphical images of gates and connections
- B. Using a textual format
- C. Through a list of gate operations
- D. As a series of mathematical equations
Answer: A
NEW QUESTION # 114
When running experiments on quantum hardware, what is "calibration" in quantum computing?
- A. Ensuring that quantum circuits have error-free computations
- B. Adjusting quantum gates for specific qubits to account for hardware imperfections
- C. Measuring the speed of a quantum algorithm
- D. Performing preliminary tests on simulators before using actual hardware
Answer: B
NEW QUESTION # 115
Which of the following returns process fidelity of a noisy quantum channel?
- A. fidelity_process
- B. average_gate_fidelity
- C. gate_error
- D. process_fidelity
Answer: D
NEW QUESTION # 116
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]
- A.
- B.
- C.
- D.
- E.
Answer: B,E
NEW QUESTION # 117
Which Qiskit function is commonly used to visualize the structure of a quantum circuit?
- A. plot_quantum_circuit()
- B. draw_circuit()
- C. display_quantum_circuit()
- D. visualize_circuit_structure()
Answer: B
NEW QUESTION # 118
Which quantum error correction code is designed to protect against phase-flip errors?
- A. Reed-Muller code
- B. Steane code
- C. Shor code
- D. Surface code
Answer: C
NEW QUESTION # 119
Which code fragment will produce a multi-qubit gate other than a CNOT?
- A. qc.cz(0,1)
- B. qc.cnot(0,1)
- C. qc.cx(0,1)
- D. qc.mct([0],1)
Answer: A
NEW QUESTION # 120
What are the backends available in qiskit Basic Aer?
- A. qasm_simulator
- B. unitary_simulator
- C. statevector_simulator
- D. All of the above
Answer: D
NEW QUESTION # 121
What is the purpose of the qasm_simulator in BasicAer?
- A. Simulating the ideal behavior of a quantum system
- B. Executing noisy simulations of quantum circuits
- C. Providing information about the state vector of the quantum system
- D. Calculating the unitary matrix of the quantum gates in the circuit
Answer: B
NEW QUESTION # 122
What characteristic of quantum information poses a challenge to traditional cryptography systems?
- A. High error rates in quantum systems
- B. Quantum tunneling effect
- C. Quantum entanglement
- D. Quantum superposition
Answer: C
NEW QUESTION # 123
Which two options would place a barrier across all qubits to the QuantumCircuit below?
qc = QuantumCircuit(3,3)
- A. qc.barrier(qc)
- B. qc.barrier([0,1,2])
- C. qc.barrier_all()
- D. qc.barrier(3)
- E. qc.barrier()
Answer: B,E
NEW QUESTION # 124
What is the primary goal of quantum error correction?
- A. Enhancing quantum gate operations
- B. Minimizing errors caused by quantum decoherence
- C. Preventing errors in classical computations
- D. Maximizing the number of qubits in a quantum system
Answer: B
NEW QUESTION # 125
What type of simulations can be accessed using the Aer provider's simulators?
- A. Simulations exclusively focused on gate optimization
- B. Ideal and non-ideal simulations of quantum circuits
- C. Noisy simulations resembling real hardware behavior
- D. Only error-corrected simulations
Answer: B
NEW QUESTION # 126
Which function in Qiskit is commonly used to visualize the histogram of measurement outcomes in a quantum experiment?
- A. visualize_measurement_outcomes()
- B. display_measurement_results()
- C. draw_histogram()
- D. plot_experiment_results()
Answer: C
NEW QUESTION # 127
......
IBM C1000-112 certification exam is an excellent opportunity for developers who wish to demonstrate their expertise in the field of quantum computation using Qiskit v0.2X. Fundamentals of Quantum Computation Using Qiskit v0.2X Developer certification is highly valued by employers and demonstrates the candidate's proficiency in developing quantum applications and solving complex problems using quantum computation techniques. Candidates who wish to take C1000-112 exam should have a solid understanding of classical computing concepts and an interest in learning about quantum computation.
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