UNIVERSITY OF CALGARY Quantum Computation and Many Body Physics
Bibliographic record
Abstract
Motivated by the underlying desire to identify novel, physically reasonable resource states for measurement-based quantum computation (MBQC), this thesis explores two seem-ingly unrelated topics in some detail. The first is a study of the circumstances under which multiqubit quantum states that are equivalent to cluster states of the same size under stochastic local operations and classical communication (SLOCC) are either deter-ministic or probabilistic resource states, with the aim of identifying new resource states that are related to, but non-trivially different from, the cluster states. The second is an analysis of the properties of the ground state of a potentially physically realisable coupled-cavity quantum electrodynamics model called the Jaynes-Cummings-Hubbard (JCH) model. The hope is that the ground state of the model can in fact serve as a universal resource for MBQC. In the first study, I identify two classes of 1D states in the SLOCC-equivalence class of 1D cluster states that constitute resources for random-length single-qubit rotations, in one case quasi-deterministically (N − U − N states) and in another probabilistically
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 0.006 |
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".