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Floki00/
qc_unitary_3qubit

Name: qc_unitary_3qubit
Availability: InStock

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Unitary compilation 3 qubits

Unitary compilation on 3 qubits
Quantum circuits up to 12 gates
Training details in the [paper-arxiv]
Prompt formatting: prompt="Compile using: ['h', 'cx', 'z', 'x', 'ccx', 'swap']"
Gate set: ['h', 'cx', 'z', 'x', 'ccx', 'swap']

The pre-trained model pipeline can be loaded with genQC. First install or upgrade genQC using

pip install -U genQC

Then the model can be loaded by calling

python

from genQC.pipeline.diffusion_pipeline import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("Floki00/qc_unitary_3qubit", "cpu")

A guide on how to use this model can be found in the example notebook 2_unitary_compilation[doc] on the GitHub repository of genQC.

The model weights in this repository are licensed under the Apache License 2.0.