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--- |
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license: apache-2.0 |
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pipeline_tag: tabular-regression |
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datasets: |
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- Allanatrix/QST |
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tags: |
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- Physics |
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--- |
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# NexaQST: Quantum State Tomography with Physics-Informed Neural Networks |
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**NexaQST** is a Quantum State Tomography model built using a Physics-Informed Neural Network (PINN) trained on synthetic 2-qubit experiments. This model leverages quantum mechanical priors such as positivity, Hermiticity, and trace constraints to ensure physically plausible reconstructions of quantum states. |
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--- |
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## Model Overview |
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- **Task**: Reconstruct quantum states (density matrices) from tomographic measurement traces |
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- **System**: Simulated 2-qubit experiments |
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- **Architecture**: Physics-Informed Neural Network (PINN) |
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- **Constraints Embedded**: |
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- Positivity |
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- Hermiticity |
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- Trace normalization (Tr(Ο) = 1) |
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--- |
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## Dataset Generation |
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- **Simulation Toolkit**: [`QuTiP`](https://qutip.org/) |
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- **Process**: |
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1. Generated full 2-qubit tomography experiments via simulation |
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2. Extracted and structured measurement traces |
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3. Derived backward synthetic traces from known density matrices |
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4. Created supervised training pairs: `(trace β density matrix)` |
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5. Enforced physical constraints directly inside the model during training |
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--- |
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## Model Input/Output |
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- **Input**: Vector of tomographic measurement traces |
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- **Output**: Reconstructed density matrix (complex-valued 4x4 for 2 qubits) |
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--- |
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## Example Usage |
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```python |
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# Pseudocode for usage |
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from model import NexaQSTModel |
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import torch |
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model = NexaQSTModel() |
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model.load_state_dict(torch.load("nexaqst_model.pt")) |
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model.eval() |
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traces = load_measurement_vector("qst_trace.npy") # shape: (N,) |
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rho_pred = model.predict_density_matrix(traces) |
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# rho_pred is a 4x4 complex-valued matrix satisfying physical constraints |
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```` |
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--- |
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## Applications |
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* Quantum error correction diagnostics |
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* Quantum system identification |
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* Educational simulation of QST techniques |
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* Physically consistent state estimation for quantum simulations |
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--- |
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## Licensing & Citation |
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* If used in publications or products, please credit the Nexa Scientific Suite. |
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--- |
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## π Related Tools |
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* [π Nexa Data Studio](https://huggingface.co/spaces/Allanatrix/NexaDataStudio) |
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* [π¬ Nexa R\&D Hub](https://huggingface.co/spaces/Allanatrix/NexaR&D) |
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* [π§ Nexa MOE Models](https://huggingface.co/collections/Allanatrix/nexa-models) |
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* [π Nexa Hub (Main Portal)](https://huggingface.co/spaces/Allanatrix/NexaHub) |
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--- |
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*Created by [Allan](https://huggingface.co/Allanatrix), independent quantum systems architect and ML researcher. Part of the Nexa scientific computing ecosystem.* |
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