Walk-through: prepare_state
This notebook is the Classiq SDK equivalent of the walkthrough sequence as presented in the Classiq web IDE [1].
from classiq import (
Output,
QArray,
QBit,
control,
create_model,
execute,
prepare_state,
qfunc,
show,
synthesize,
)
Build Your Algorithm
In the IDE: To start writing your quantum model, click the Model tab.
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[QBit]]):
prepare_state(probabilities=probabilities, bound=0.01, out=io)
model = create_model(main)
Dump the model to file:
from classiq import write_qmod
write_qmod(model, "prepare_state")
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(model)
show(qprog)
Opening: https://platform.classiq.io/circuit/ab291813-78a4-4491-9d45-ebbbff1388e2?version=0.41.0.dev39%2B79c8fd0855
Congratulations!
In the IDE: This is your first quantum program. Learn more in the User Guide [2].
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.
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.
from classiq.execution import (
ClassiqBackendPreferences,
ClassiqSimulatorBackendNames,
ExecutionPreferences,
set_quantum_program_execution_preferences,
)
preferences = ExecutionPreferences(
backend_preferences=ClassiqBackendPreferences(
backend_name=ClassiqSimulatorBackendNames.SIMULATOR
)
)
qprog = set_quantum_program_execution_preferences(qprog, preferences)
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:
job = execute(qprog)
results = job.result()
job.open_in_ide()
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].