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IBM C1000-112 Exam Overview:

Certification Vendor:IBM
Exam Name:Fundamentals of Quantum Computation Using Qiskit v0.2X Developer
Exam Number:C1000-112
Passing Score:44/60 (73%)
Real Exam Qty:60
Available Languages:English
Certificate Validity Period:3 years
Exam Duration:90 minutes
Exam Format:Multiple-choice, Single/multiple-select
Related Certifications:IBM Certified Associate Developer - Quantum Computation using Qiskit v1.x (C1000-179)
Exam Price:200 USD
Recommended Training:IBM Quantum Learning
Qiskit Textbook
Exam Registration:IBM Certification Page
Pearson VUE Registration
Sample Questions:IBM C1000-112 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE centers; EXAM WITHDRAWN as of 2024, replaced by C1000-179
Pre Condition:No formal prerequisites; basic Python and quantum computing knowledge recommended
Official Syllabus URL:https://www.ibm.com/training/certification/ibm-certified-associate-developer-quantum-computation-using-qiskit-v02x-C0010300

IBM C1000-112 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Compare and Contrast Quantum Information10%- Statevectors, unitaries, density matrices
- Fidelity and quantum state analysis
Topic 2: Use Qiskit Tools1%- Monitor job status and retrieve results
Topic 3: Access Aer Provider6%- Configure and use Aer simulators
Topic 4: Implement BasicAer Simulators3%- Use Python-based simulator backend
Topic 5: Display and Use System Information3%- Check Qiskit version and backend details
Topic 6: Executing Experiments3%- Execute circuits on simulators and backends
Topic 7: Construct Visualizations19%- Plot circuits, Bloch spheres, histograms
Topic 8: Implement QASM1%- Read/write and validate QASM files
Topic 9: Return and Interpret Experiment Results7%- Analyze histogram counts
- Extract statevector and unitary data
Topic 10: Perform Operations on Quantum Circuits47%- Return circuit depth and OpenQASM strings
- Apply single-qubit and multi-qubit gates
- Add barriers and measure operations
- Construct quantum registers and circuits

IBM Fundamentals of Quantum Computation Using Qiskit v0.2X Developer Sample Questions:

1. 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)


2. 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)

A) qc.ry(math.pi, 0)
B) qc.rx(math.pi / 2, 0)
qc.rz(-math.pi / 2, 0)
C) qc.rx(math.pi / 2, 0)
D) qc.h(0)
E) qc.ry(math.pi / 2, 0)


3. 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(3)
D) QuantumCircuit(QuantumRegister(3,'q'), QuantumRegister(3,'c'))


4. 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)
B) qc.measure_all()
C) qc.measure([0,1,2],[0,1,2])
D) qc.measure([0,0],[1,1],[2,2])
E) qc.measure(q,c)


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

A) Tailored, high-performance quantum simulations
B) Specialized quantum error correction capabilities
C) Access to classical computing resources
D) The ability to execute directly on IBM Quantum Experience


Solutions:

Question # 1
Answer: B,D
Question # 2
Answer: D,E
Question # 3
Answer: A
Question # 4
Answer: C,E
Question # 5
Answer: A

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