IBM C1000-112 Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Online Training
IBM C1000-112 Online Training
The questions for C1000-112 were last updated at Oct 20,2024.
- Exam Code: C1000-112
- Exam Name: Fundamentals of Quantum Computation Using Qiskit v0.2X Developer
- Certification Provider: IBM
- Latest update: Oct 20,2024
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 .
In the circuit given below having statevector simulator as the backend, choose the _missing_element_from the options?
qc = QuantumCircuit(1)
qc.x(0)
qc.z(0)
backend_state = BasicAer.get_backend(‘statevector_simulator’)
result = execute(qc,backend_state).result()._missing_element_
- A . get_statevector()
- B . get_statevector_state()
- C . get_statevector_result()
- D . get_state_simulator()
What advantage does the Aer provider’s simulators offer for researchers and developers?
- A . High-level abstraction from the quantum algorithms
- B . Direct access to quantum cloud services
- C . Cost-effective and faster testing of quantum algorithms
- D . Execution of algorithms with quantum error correction codes
In quantum computing, what is the primary method for retrieving results from a quantum experiment?
- A . Direct measurement of qubit states
- B . Analyzing quantum gates in the circuit
- C . Evaluating quantum error correction codes
- D . Simulating the quantum circuit on a classical computer
Predict the output of the average_gate_fidelity, process_fidelity of the below snippet:
a = Operator(YGate())
b = np.exp(1j /2) * a
average_gate_fidelity(a,b)
process_fiedlity(a,b)
- A . average_gate_fidelity will be 0.5 and process_fidelity will be 1.0
- B . average_gate_fidelity will be 1.0 and process_fidelity will be 0.5
- C . average_gate_fidelity will be 0 and process_fidelity will be 0.5
- D . average_gate_fidelity will be 1.0 and process_fidelity will be 1.0
What process follows the retrieval of results from a quantum experiment to draw meaningful conclusions?
- A . Quantum gate optimization
- B . Quantum entanglement verification
- C . Statistical analysis and result interpretation
- D . Implementing quantum error correction codes
which of the following simulator can be as good as real IBM Quantum computer?
- A . qasm_simulator
- B . real_quantum_simulator
- C . statevector_simulator
- D . unitary_simulator
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)
B)
C)
D)
- A . Option A
- B . Option B
- C . Option C
- D . Option D
Which of the below API returns the random unitary of dimension 2?
- A . random_get_unitary(2)
- B . random_unitary(2)
- C . random_get_unitary_matrix(2)
- D . random_get_unitary_state(2)