Floki00/qc_srv_3to8qubit

Schmidt-rank-vector generation 3 to 8 qubits

Paper: "Quantum circuit synthesis with diffusion models".

Key Features and limitations

• Schmidt-rank-vector (SRV) generation from 3 to 8 qubits
• Quantum circuits up to 52 gates
• Training details in the [paper-arxiv]
• Prompt formatting: prompt="Generate SRV: [2, 1, 2, 1, 2]"
• Gate set: ['h', 'cx']

Usage

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

from genQC.pipeline.diffusion_pipeline import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("Floki00/qc_srv_3to8qubit", "cpu")

A guide on how to use this model can be found in the example notebook 0_hello_circuit [doc] [notebook] on the GitHub repository of genQC.

License

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