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Record W7062645935

Towards Photonic Chip Integration of an Oscillating Photonic Bell State from a Semiconductor Quantum Dot

2024· dissertation· en· W7062645935 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2024
Typedissertation
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsQuantum dotQuantum technologyQuantum sensorQuantum imagingPhotonQuantum networkPhoton entanglementQuantum information scienceQuantum entanglement
DOInot available

Abstract

fetched live from OpenAlex

The demand for entangled photon sources has been growing in all areas of quantum information technologies. However, many modern single-photon sources suffer from fundamental limitations which limit their ability to produce these single-photons, as many of the “high quality” sources are probabilistic in nature. This probabilistic emission limits the “on-demand” requirement needed for many quantum information technologies. As a result, other types of single photon sources have been the topic of research for the past two decades, in which quantum dots are a promising candidate. Quantum dots are regions in space which electron-hole pairs can be confined and, using a phenomenon called ”spontaneous emission,” can emit single photons on demand. This is because the creation of electron-hole pairs is a deterministic process, which is a major topic of study in this thesis. In addition, the quantum dot which is the focus of this thesis is capable of emitting pairs of entangled photons on-demand, which have a wide array of applications in the quantum computing community. Our quantum dot is also embedded inside a nanowire, which this thesis will show, improves its performance in the areas which are considered important to the quantum dot, quantum computing, quantum networking, and quantum communication communities. \n \nThe nanowire quantum dots, comprised of an InAsP quantum dot embedded in an InP nanowire studied in this thesis show improvements over other quantum dot sources in key areas: photon purity, with a g(2)_XX (0) = 0.0055 ± 0.0003 and g(2)_X (0) = 0.0028 ± 0.0003, and entanglement, with peak concurrence (fidelity) values of C = 95.6 ± 0.7% (F = 97.7 ± 0.4%) and lifetime weighted concurrence (fidelity) of C = 90.2 ± 0.2% (F = 94.0 ± 0.1%). These results are an improvement from previous results on the same nanowire quantum dot, with peak concurrence of C = 87 ± 4% and lifetime weighted concurrence of C = 52 ± 3%. \nThe reason for the improvements on the same dot is because of the detection systems, superconducting nanowire single photon detectors. These detectors have far less timing jitter, dark counts, and higher efficiency than their counterparts, single photon avalanche diodes, which suggests these quantum dots are far better than previously thought. This thesis explores the effects of the detection systems in resolving a time-dependent oscillating quantum state, which occurs when a quantum dot has a fine-structure splitting. The fine-structure splitting is present in quantum dots that have strain, random alloying, or an asymmetric confining potential, causing asymmetry in the physical dimensions of the quantum dot. This asymmetry causes a lifting in the degeneracy of the exciton state, which causes the exciton state to precess. This oscillation happens on a timescale similar to the single photon avalanche diodes timing jitter, causing a “blurring” of the oscillating quantum state. This is mediated by using faster detectors, which this thesis will explore. \n \nIn addition to single photon sources, this thesis also focuses on the creation of photonic integrated circuits capable of supporting the photons emitted from our quantum dot. This is important because our quantum dot emits at wavelengths ≈ 894 nm, which is not supported by the silicon platform typically offered for photonic integrated circuits. This thesis will focus on a new platform, silicon nitride, which is capable of supporting light at our wavelengths. The results of this thesis demonstrate the simulated performance of the silicon nitride photonic integrated circuits at our wavelengths and lay the groundwork for a path forward to testing them with our source.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.012
GPT teacher head0.212
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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