High-dimension experimental tomography of a path-encoded photon\n quantum-state
Bibliographic record
Abstract
Quantum information protocols often rely on tomographic techniques to\ndetermine the state of the system. A popular method of encoding information is\non the different paths a photon may take, for example, parallel waveguides in\nintegrated optics. However, reconstruction of states encoded onto a large\nnumber of paths is often prohibitively resource intensive and requires\ncomplicated experimental setups. Addressing this, we present a simple method\nfor determining the state of a photon in a superposition of d paths using a\nrotating one-dimensional optical Fourier Transform. We establish the theory and\nexperimentally demonstrate the technique by measuring a wide variety of\nsix-dimensional density matrices. The average fidelity of these with the\nexpected state is as high as 0.9852 +/- 0.0008. This performance is comparable\nor exceeds established tomographic methods for other types of systems.\n
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".