Bibliographic record
Abstract
Condensed and solid phase environments offer a wide range of controllable interactions for new quantum technologies.Understanding the dynamics of open quantum systems interacting with such complex environments is important for correct modeling of many chemical and physical phenomena and for development of new quantum technologies.The central theme of this thesis is the open system dynamics of a small qua.ntum system coupled to self-interacting chaotic environments.This thesis consists of Lhree related parts.In the first part, a theory predicting open dynamics of a quantum system interacting with chaotic environments is reported.The theory is of a Kraus decomposition form, which is exact for chaotic environments of thermodynamic dimension.Extension of the theory to time-dependent system Hamiltonians is also presented so that it may have practical applications for studies of new quantum technologies.In tbe second part, extensive numerical calculations are performed to obtain the exact quantum dynamic::; for two realistic models of self-int(~ra.ctingenvironments.Both models represent a statistically Hawed isolated quantum computer (QC) core.In the first model, the open dynamics of a quantum-control NOT (CNOT) gate in the pre::;ence of static internal imperfections are invcstigated and internal error sources are identified for a large number of QC configurations.The results indicate that the strong two-body imperfections suppress the interna.! decohcrence and enhance the performancc of the CNOT gate.Moreover, the largest source of error is found to be unitary due to coherent shifting rather than III
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".