This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 1.34.2 instead.
Reason given by maintainers: Invalid Python requirements
The Classiq Quantum Algorithm Design platform helps teams build sophisticated quantum circuits that could not be designed otherwise
We do this by synthesizing high-level functional models into optimized quantum circuits, taking into account the constraints that are important to the designer. Furthermore, we are able to generate circuits for practically any universal gate-based quantum computer and are compatible with most quantum cloud providers.
Requirements
Python 3.8+
Installation
pip install --upgrade pip
$ pip install 'classiq[all]'
Example
from classiq import generator
from classiq_interface.generator.state_preparation import (
StatePreparation,
PMF,
StatePreparationOutputs,
Metrics,
NonNegativeFloatRange,
)
from classiq_interface.generator.qft import QftInputs, QFT
probabilities = (0.5, 0.1, 0.2, 0.005, 0.015, 0.12, 0.035, 0.025)
pmf = PMF(pmf=probabilities)
sp_params = StatePreparation(
probabilities=pmf,
num_qubits=4,
error_metric={Metrics.KL: NonNegativeFloatRange(upper_bound=0.3)},
)
circuit_generator = generator.Generator(qubit_count=20, max_depth=100)
output_dict = circuit_generator.StatePreparation(params=sp_params)
state_preparation_output = output_dict[StatePreparationOutputs.OUT]
qft_params = QFT(num_qubits=3)
circuit_generator.QFT(
params=qft_params, in_wires={QftInputs.IN: state_preparation_output}
)
circuit = circuit_generator.generate()
circuit.show()
License
See license.
1 maintainer
Metadata
1 maintainer
Release files for classiq 0.1.11
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| File | Size | Uploaded | Provenance | Actions |
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Total release size: 35.9 kB
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| Tags | Python 3 |
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