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Open this notebook in GitHub to run it yourself
This notebook is the Classiq SDK equivalent of the walkthrough sequence as presented in the Classiq web IDE [1]. 
from classiq import *

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Build Your Algorithm

In the IDE: To start writing your quantum model, click the Model tab.

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Build the Model

In the IDE: Here you define the model, function parameters, and more. See the User Guide [2] for details. Below is the SDK representation of the Qmod syntax shown on the IDE page: 
probabilities = [
    0,
    0.002,
    0.004,
    0.006,
    0.0081,
    0.0101,
    0.0121,
    0.0141,
    0.0161,
    0.0181,
    0.0202,
    0.0222,
    0.0242,
    0.0262,
    0.0282,
    0.0302,
    0.0323,
    0.0343,
    0.0363,
    0.0383,
    0.0403,
    0.0423,
    0.0444,
    0.0464,
    0.0484,
    0.0504,
    0.0524,
    0.0544,
    0.0565,
    0.0585,
    0.0605,
    0.0625,
]


@qfunc
def main(io: Output[QArray]):
    prepare_state(probabilities=probabilities, bound=0.01, out=io)

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Synthesize the Model

In the IDE: Now that you have selected or built a model, click the “Synthesize” button, sit back, and let Classiq do its magic! Below is the SDK representation of the Qmod syntax shown on the IDE page: 
qprog = synthesize(main)
show(qprog)
Output:

Quantum program link: https://platform.classiq.io/circuit/2zPKuTDqwQAGWvEB299Om2iz6sl
Output:
gio: https://platform.classiq.io/circuit/2zPKuTDqwQAGWvEB299Om2iz6sl?login=True&version=0.85.0: Operation not supported

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Congratulations!

In the IDE: This is your first quantum program. Learn more in the User Guide [2].

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Run on Quantum Hardware or Simulators

In the IDE: Click ‘Execute’ to define the quantum hardware or a quantum simulator to run your synthesized quantum program.

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Define Execution Details

In the IDE: Select which quantum program to execute, define the execution parameters, and choose a quantum provider and backend platform. The Classiq platform is your gateway to all major quantum computing providers. 
preferences = ExecutionPreferences(
    backend_preferences=ClassiqBackendPreferences(
        backend_name=ClassiqSimulatorBackendNames.SIMULATOR
    )
)

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Run on a Quantum Simulator!

In the IDE: Click ‘Run’ to execute your quantum program on the simulator you chose in the previous step. Below is the SDK execution code: 
with ExecutionSession(qprog, preferences) as es:
    res = es.sample()


res.dataframe.head()
iocountprobabilitybitstring
0[1, 1, 1, 1, 1]1360.06640611111
1[1, 0, 1, 1, 1]1320.06445311101
2[0, 1, 1, 1, 1]1240.06054711110
3[0, 1, 0, 1, 1]1140.05566411010
4[0, 0, 0, 1, 1]1130.05517611000
Look at that cool triangle probability function! In the IDE: That’s it! You ran your first quantum program. To learn more about the Classiq platform, read the User Guide [2].

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References

[1]: Classiq IDE [2]: Classiq User_Guide