Parity–Time Symmetry Synthetic Lasers: Physics and Devices
Bibliographic record
Abstract
Abstract The invention of the laser has revolutionized modern science and engineering as well as our daily lives. Recently, a new class of lasers based on concepts borrowed from parity–time symmetry in quantum mechanics has emerged. Parity–time symmetry, initially applied to condensed matter systems, extends canonical quantum theory to non‐Hermitian quantum theory. The experimental exploration of parity–time symmetry in electronics is challenging; so by analogy, such concept is introduced in photonics where flexibility exists in realizing non‐Hermitian eigenstates involving optical gain and loss. Lasers intrinsically involve both gain and loss, which makes them the natural candidates to explore and exploit parity–time symmetry in photonics. Recent studies have demonstrated various novel laser devices based on parity–time symmetry, which show unique properties such as single mode lasing, chiral mode lasing, and exceptional point enhanced sensing. In this review, the fundamentals are introduced and recent advances in parity–time symmetric laser devices are discussed, furthermore an outlook on this emergent field is provided.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".