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Single Dopant Lithography for the Fabrication of Atomic-scale Devices and Quantum Systems

2024· article· en· W4401247467 on OpenAlexaff
Ivo W. Rangelow, T. Schenkel, Arun Persaud, Z. A. K. Durrani, Mervyn Jones, Hans-Georg Pietscher, Fabian Dietrich, Aditya S. Tan, Jaqueline Stauffenberg, Eberhard Manske, Thomas Froehlich, D.S. Karpuzov

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDopantFabricationLithographyMaterials scienceAtomic unitsOptoelectronicsQuantumNanolithographyNanotechnologyPhysicsDopingQuantum mechanics

Abstract

fetched live from OpenAlex

We describe approaches for the fabrication of single atom electronic devices and of devices with spin-based qubits for quantum computing. Single ion implantation is one of the main candidates for fabricating atomic-scale devices. Here, the ability to precisely locate single dopant atoms has the potential to enable deterministic, tunable control over key electronic and magneto-optical properties of the basic devices necessary for solid-state quantum computing. Further, the electrical operation of a CMOS compatible single dopant atom device operating at room-temperature (RT) is presented. It is based on a single dopant atom quantum dot (QD) transistor using phosphorous atoms isolated within nanoscale SiO2tunnel barriers. In contrast to single dopant transistors in silicon, where the QD potential well is shallow and device operation limited to ~1 K temperatures, here, a deep (~1eV) potential well allows electron confinement even at RT [1]. This suggests higher temperature operation, at ~10 K or greater if needed, for quantum electronic circuits. The transistors, based on ~10 nm size scale Si/SiO2/Si point-contact tunnel junctions defined by scanning probe lithography and ‘geometric oxidation’ of the point-contact region, have enabled the control of single [1], and double tunnel coupled QDs [2], and investigations of single particle thermodynamics in a Maxwell ‘demon’ configuration [3].

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)0.000
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.006

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.

Opus teacher head0.018
GPT teacher head0.227
Teacher spread0.208 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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