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import numpy as np
from classiq import *
MAX_WIDTH = 8
NUM_QUBITS = 4
np.random.seed(12)
amplitudes = 1 - 2 * np.random.rand(2**NUM_QUBITS)
amplitudes = (amplitudes / np.linalg.norm(amplitudes)).tolist()
@qfunc
def main(out: Output[QArray]) -> None:
prepare_amplitudes(amplitudes=amplitudes, bound=0.2, out=out)
preferences = Preferences(
custom_hardware_settings=CustomHardwareSettings(basis_gates=["cx", "u"]),
random_seed=1235,
optimization_timeout_seconds=100,
)
constraints = Constraints(
optimization_parameter=OptimizationParameter.DEPTH, max_width=MAX_WIDTH
)
qprog = synthesize(main, preferences=preferences, constraints=constraints)
show(qprog)
Quantum program link: https://platform.classiq.io/circuit/30er6gl4kTKzjmcqlFQ8Qhs2bLA
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