VGON

VGON, short for “Variational Generative Optimization Network”, refers to a class of generative models intended to discover optimal solutions for quantum problems within the general framework of variational optimization.

Project

Here we provide three numerical experiments corresponding to the quantum task discussed in our paper, as well as a unified Python environment configuration defined in pyproject.toml.

For more configuration details, please check the setup documentation here

Project Structure

The repository is organized as follows:

VGON/
├── BP/ # Barren Plateau experiments
│ ├── HXXZ/ # Heisenberg XXZ model
│ └── Z1Z2/ # Z1Z2 model
├── Degeneracy/ # Degeneracy detection experiments
│ ├── H232/ # H232 Hamiltonian
│ └── MG/ # Graph states
└── Gap/ # Nonlocality gap experiments

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Citing

If you are inspired by VGON for academic work, we encourage you to cite our papers. If you use VGON in industry, we'd love to hear from you over email.