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Exceptional Practice To Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Pass the First Time
IBM C1000-112 certification exam is a challenging and rewarding experience for developers who are passionate about quantum computing. It provides a comprehensive assessment of their skills and knowledge in using Qiskit, which is an essential tool for building and running quantum programs and applications. With this certification, developers can showcase their expertise to potential employers and contribute to the growth and development of the quantum computing industry.
The IBM C1000-112 exam is designed to test the candidate's knowledge and skills in quantum computing concepts, programming languages, and the Qiskit v0.2X software. C1000-112 exam is divided into two sections - multiple-choice questions and hands-on coding challenges. The multiple-choice questions assess the candidate's knowledge of the theoretical concepts of quantum computing, while the hands-on coding challenges evaluate the candidate's practical skills in programming Qiskit v0.2X.
NEW QUESTION # 144
Which of the following statements best describes the role of Qasm in programming quantum circuits?
- A. Qasm describes the sequence of quantum operations in a circuit
- B. Qasm is a programming language used for quantum hardware communication
- C. Qasm describes classical computations that support quantum circuits
- D. Qasm provides a way to visualize quantum circuit execution
Answer: A
NEW QUESTION # 145
Select the Involutory gates in the below list of options? (Select 3)
- A. Y-gate
- B. X-gate
- C. T-gate
- D. CPHASE-gate
- E. H-gate
- F. S-gate
Answer: A,B,E
NEW QUESTION # 146
Given the state vector represented by this Bloch sphere of single bit quantum circuitqc, please choose the operations.
Which would lead to this state by assuming the quantum circuit is initialized to |0> (select any 3)
- A. qc.h(0)
qc.x(0) - B. qc.rx(math.pi, 0)
- C. qc.h(0)
- D. qc.ry(math.pi / 2, 0)
qc.x(0) - E. qc.rx(math.pi, 0)
qc.rz(math.pi, 0)
Answer: A,C,D
NEW QUESTION # 147
Which code fragment will produce a maximally entangled, or Bell, state?
- A. bell = QuantumCircuit(2)
bell.cx(0, 1)
bell.h(0)
bell.x(1) - B. bell = QuantumCircuit(2)
bell.h(0)
bell.x(1)
bell.cz(0, 1) - C. bell = QuantumCircuit(2)
bell.h(0)
bell.x(1)
bell.cx(0, 1) - D. bell = QuantumCircuit(2)
bell.h(0)
bell.h(0)
Answer: C
NEW QUESTION # 148
Which of the below API returns the random unitary of dimension 2?
- A. random_get_unitary_matrix(2)
- B. random_unitary(2)
- C. random_get_unitary_state(2)
- D. random_get_unitary(2)
Answer: B
NEW QUESTION # 149
What is the purpose of executing a quantum experiment on a simulator?
- A. To measure the performance of quantum hardware
- B. To generate random numbers efficiently
- C. To study the behavior of classical algorithms
- D. To validate quantum algorithms using classical computing resources
Answer: D
NEW QUESTION # 150
What is the command used to retrieve the last run job from a backend?
- A. backend.jobs()[0]
- B. backend.retrieve_job()[0]
- C. backend.retrieve_job()[1]
- D. backend.jobs()[-1]
Answer: A
NEW QUESTION # 151
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()
- A. qc.measure([0,1,2],[0,1,2])
- B. qc.measure([0,0],[1,1],[2,2])
- C. qc.measure_all()
- D. qc.measure(0,1,2)
- E. qc.measure(q,c)
Answer: A,E
NEW QUESTION # 152
Choose the Toffoli gate in the given options:
- A.
- B.
- C.
- D.
Answer: B
NEW QUESTION # 153
Predict the output of counts in the below-given snippet:
q = QuantumRegister(2,'q')
c = ClassicalRegister(2,'c')
qc = QuantumCircuit(q,c)
qc.h(0)
qc.h(1)
qc.measure([0,1],[0,1])
backend = BasicAer.get_backend('qasm_simulator')
job = execute(qc, backend, shots=100)
counts = job.result().get_counts()
- A.
- B.
- C.
- D.
- E.
Answer: E
NEW QUESTION # 154
What is the default number of shots which QuantumCircuit.execute function performs?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 155
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':500, '1':524}
- B. {'1':1024}
- C. {'0':200, '1':824}
- D. {'0': 1024}
Answer: D
NEW QUESTION # 156
Which coding snippet will create a quantum circuit with three quantum bits and three classical bits?
- A. QuantumCircuit(3, 3)
- B. QuantumCircuit([3,3])
- C. QuantumCircuit(QuantumRegister(3,'q'), QuantumRegister(3,'c'))
- D. QuantumCircuit(3)
Answer: A
NEW QUESTION # 157
In quantum computing, what does the term "quantum supremacy" refer to?
- A. Ability to create quantum entanglement
- B. Advanced quantum cryptography techniques
- C. Achieving ultimate quantum error correction
- D. Superior speed of quantum computers over classical ones
Answer: D
NEW QUESTION # 158
What feature differentiates the Aer provider's simulators from other backends in Qiskit?
- A. Specialized quantum error correction capabilities
- B. The ability to execute directly on IBM Quantum Experience
- C. Tailored, high-performance quantum simulations
- D. Access to classical computing resources
Answer: C
NEW QUESTION # 159
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.
- B.
- C.
- D.
Answer: C
NEW QUESTION # 160
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