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