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Record W7017952373

Chaos and dynamical instability in a closed kicked system

2023· dissertation· en· W7017952373 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicQuantum chaos and dynamical systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsQuantum chaosClassical limitQuantumPhase spaceQuantum systemQuantum entanglementQuantum dynamicsQuantum stateOpen quantum systemQuantum process
DOInot available

Abstract

fetched live from OpenAlex

Quantum-classical correspondence plays an important role in understanding the emergence of classical chaos from underlying quantum mechanics. However, the transition from quantum to classical is not straightforward. Here we study a well-known
\nclosed-kicked spin system with a chaotic classical limit. The quantum dynamics takes the form of stroboscopic unitary kicks acting on a single spin system. By mapping it to a programmable quantum circuit, we show that NISQ devices can be a potential testbed for simulating quantum chaos. The results suggest that entanglement can be considered a signature of classical chaos even in the deep quantum regime. Extending the work to arbitrary spins and focusing on special Hamiltonian parameters, we then show that the system may acquire temporal periodicity. These temporal periodicities do not depend on the initial state. Throughout such periodic evolutions, no initial quantum state fully explores Hilbert space as either a state vector or phase space as a quasi-probability distribution despite the classical limit being chaotic. Because these state-independent temporal periodicities are present in all dimensions, their existence represents a universal violation of the correspondence principle. We also consider the stability of this periodic behavior
\n as a function of the degree of chaos in the classical model. Our study suggests that even in the semi-classical regime, there are specific parameter values for which a quantum system never behaves classically or displays signatures of chaos.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.197
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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