FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3183290223> ?p ?o ?g. }

• W3183290223 abstract "There has been a great deal of effort and progress made towards building a fully scalable quantum computer but there are still significant engineering challenges to overcome. Trapped ions currently represent the best fundamental technology towards achieving this goal and so they form the basis for the work in this thesis.In this thesis I describe the work towards creating a closed cycle cryogenic vacuum system driven by a Gifford McMahon cryogenic cooler. I will show the equipment required to trap a Ytterbium 174/171 ion on a cryogenic surface ion trap. The primary goal is to create a fast turn-around system for ion trap research. Room temperature systems suffer from long baking times and as such ion traps are rarely changed, this means that there is little room for testing and comparing of trap designs and predicting optimum trapping parameters as each trap is usually not changed unless there is a fault. In the cryogenic system, every effort is made to make the system generic enough to allow for any trap design to be tested and to be replaced within 24 hours.To create reliable trapping parameters we require a toolkit that can numerically simulate the required RF and DC voltages used to trap the ions above the surface of the ion trap. There are many numerical methods that can be used (FEM, FVM, BEM, FTDI, etc) and in this thesis I describe multiple methods and what their relative benefits are. Since we want to create a full toolkit to allow for chip design and optimisation, most commercial programs suffer from inadequate API interfaces or they dictate which programming languages you can interface with. This would limit our abilities to develop and optimise trapping parameters, especially in a cryogenic system where the goal is rapid deployment. To this end I created a new toolkit based on the Scuff BEM solver engine that allows us to go from AutoCAD layout to field solver and gives us accurate field potentials that match micromotion compensated voltages to within 1%.I describe a novel cryogenic resonator built out of superconducting wire based on an auto-transformer topology, I compare its strengths and weaknesses compared to other technologies already in use for trapped ion research.I also describe a novel DSUB design with integrated modular filtering which allows for 50 connections per DSUB. This DSUB is used to connect two sets of 50 wires to a PCB for wirebonding to the surface trap. This allows me to save space within the 4k shield where other PCB designs would not fit. Also it is modular in design which allows for different cutoff frequencies to be swapped out as desired.I also describe different chip mounting technologies including epoxy based, physical clamping and indium foil based. After extensive testing the indium foil diebonded approach is deemed as being the most reliable and fastest non-destructive method. I also describe a novel cryogenic coil design for generating 12T m−1 field gradients for microwave based ion gates with Ytterbium 171. I then describe the creation of a combined RF and microwave antenna for delivering coherent RF and 12.6GHz microwave radiation inside the cryogenic environment. This design is much smaller than typical waveguide typologies used.I finish by showing the first trapped ions in a cryogenic surface ion trap in the UK and heating rate tests performed on two different linear surface traps. The first trap was a sapphire based, 150µm ion height linear trap with a measured heating rate of Se(1MHz) = 5.93(10) ∗ 10−14(V /m)2. The second ion trap is a 50k Silicon based, 100µm ion height linear trap with a measured heating rate of Se(1MHz) = 2.45(10)∗10−13(V /m)2" @default.
• W3183290223 created "2021-08-02" @default.
• W3183290223 creator A5006326852 @default.
• W3183290223 date "2021-06-21" @default.
• W3183290223 modified "2023-09-27" @default.
• W3183290223 title "Cryogenic technologies for scalable trapped ion quantum computing" @default.
• W3183290223 hasPublicationYear "2021" @default.
• W3183290223 type Work @default.
• W3183290223 sameAs 3183290223 @default.
• W3183290223 citedByCount "0" @default.
• W3183290223 crossrefType "dissertation" @default.
• W3183290223 hasAuthorship W3183290223A5006326852 @default.
• W3183290223 hasConcept C106289968 @default.
• W3183290223 hasConcept C116915560 @default.
• W3183290223 hasConcept C121099081 @default.
• W3183290223 hasConcept C121332964 @default.
• W3183290223 hasConcept C127413603 @default.
• W3183290223 hasConcept C145148216 @default.
• W3183290223 hasConcept C153294291 @default.
• W3183290223 hasConcept C192562407 @default.
• W3183290223 hasConcept C41008148 @default.
• W3183290223 hasConcept C48044578 @default.
• W3183290223 hasConcept C61696701 @default.
• W3183290223 hasConcept C62520636 @default.
• W3183290223 hasConcept C77088390 @default.
• W3183290223 hasConcept C78519656 @default.
• W3183290223 hasConceptScore W3183290223C106289968 @default.
• W3183290223 hasConceptScore W3183290223C116915560 @default.
• W3183290223 hasConceptScore W3183290223C121099081 @default.
• W3183290223 hasConceptScore W3183290223C121332964 @default.
• W3183290223 hasConceptScore W3183290223C127413603 @default.
• W3183290223 hasConceptScore W3183290223C145148216 @default.
• W3183290223 hasConceptScore W3183290223C153294291 @default.
• W3183290223 hasConceptScore W3183290223C192562407 @default.
• W3183290223 hasConceptScore W3183290223C41008148 @default.
• W3183290223 hasConceptScore W3183290223C48044578 @default.
• W3183290223 hasConceptScore W3183290223C61696701 @default.
• W3183290223 hasConceptScore W3183290223C62520636 @default.
• W3183290223 hasConceptScore W3183290223C77088390 @default.
• W3183290223 hasConceptScore W3183290223C78519656 @default.
• W3183290223 hasLocation W31832902231 @default.
• W3183290223 hasOpenAccess W3183290223 @default.
• W3183290223 hasPrimaryLocation W31832902231 @default.
• W3183290223 hasRelatedWork W1592971087 @default.
• W3183290223 hasRelatedWork W2027425494 @default.
• W3183290223 hasRelatedWork W2105915714 @default.
• W3183290223 hasRelatedWork W2236787634 @default.
• W3183290223 hasRelatedWork W2281201858 @default.
• W3183290223 hasRelatedWork W2283851755 @default.
• W3183290223 hasRelatedWork W2303743042 @default.
• W3183290223 hasRelatedWork W2319651183 @default.
• W3183290223 hasRelatedWork W2477742920 @default.
• W3183290223 hasRelatedWork W2807018720 @default.
• W3183290223 hasRelatedWork W2911476748 @default.
• W3183290223 hasRelatedWork W2922890319 @default.
• W3183290223 hasRelatedWork W2989085355 @default.
• W3183290223 hasRelatedWork W3111609386 @default.
• W3183290223 hasRelatedWork W3156336009 @default.
• W3183290223 hasRelatedWork W3186262463 @default.
• W3183290223 hasRelatedWork W765665935 @default.
• W3183290223 hasRelatedWork W800895893 @default.
• W3183290223 hasRelatedWork W2461821423 @default.
• W3183290223 hasRelatedWork W3088332642 @default.
• W3183290223 isParatext "false" @default.
• W3183290223 isRetracted "false" @default.
• W3183290223 magId "3183290223" @default.
• W3183290223 workType "dissertation" @default.