🔮 Qiskit Implementation & Quantum Computing

import numpy as np
from qiskit import QuantumCircuit

# Create a quantum circuit
qc = QuantumCircuit(3)
qc.h(0)             # Generate superposition
qc.p(np.pi / 2, 0)  # Add quantum phase
qc.cx(0, 1)         # CNOT gates
qc.cx(0, 2)

# Add measurement
qc_measured = qc.measure_all(inplace=False)

# Execute using Sampler
from qiskit.primitives import StatevectorSampler
sampler = StatevectorSampler()
job = sampler.run([qc_measured], shots=1000)
result = job.result()
print(result[0].data["meas"].get_counts())

{
    '000': ≈ 500,  # ~50%
    '111': ≈ 500   # ~50%
}

from qiskit.quantum_info import SparsePauliOp
from qiskit.primitives import StatevectorEstimator

operator = SparsePauliOp.from_list([
    ("XXY", 1), 
    ("XYX", 1),
    ("YXX", 1), 
    ("YYY", -1)
])

estimator = StatevectorEstimator()
result = estimator.run(
    [(qc, operator)], 
    precision=1e-3
).result()

from qiskit import transpile

# Example transpilation
qc_transpiled = transpile(
    qc,
    basis_gates=["cz", "sx", "rz"],
    coupling_map=[[0, 1], [1, 2]],
    optimization_level=3
)