make progesss presentation
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154
presentations/progress.typ
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154
presentations/progress.typ
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#import "@preview/touying:0.6.1": *
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#import "@preview/physica:0.9.5": *
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#import "@preview/cetz:0.3.4"
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#import "@preview/typsium:0.2.0": ce
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#import "@preview/numbly:0.1.0": numbly
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#import "./theme.typ": *
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#set heading(numbering: numbly("{1}.", default: "1.1"))
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#show ref: set text(size:0.5em, baseline: -0.75em)
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#let cetz-canvas = touying-reducer.with(reduce: cetz.canvas, cover: cetz.draw.hide.with(bounds: true))
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#show: university-theme.with(
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config-info(
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title: "Implementation Specific QAS", // Required
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date: datetime.today().display(),
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authors: ("Noa Aarts"),
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// Optional Styling (for more / explanation see in the typst universe)
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// ignore how bad the images look i'll adjust it until Monday
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title-color: blue.darken(10%),
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),
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config-common(
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// handout: true, // enable this for a version without animations
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),
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aspect-ratio: "16-9",
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config-colors(
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primary: rgb("#00a6d6"),
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secondary: rgb("#00b3dc"),
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tertiary: rgb("#b8cbde"),
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neutral-lightest: rgb("#ffffff"),
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neutral-darkest: rgb("#000000"),
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),
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)
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#show outline.entry: it => link(
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it.element.location(),
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text(fill: rgb("#00b3dc"), size: 1.3em)[#it.indented(it.prefix(), it.body())],
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)
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== The Goal
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#slide[
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#align(center + horizon)[
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#cetz-canvas({
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import cetz.draw: *
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let left = -9
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let mid = 0
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let right = 7
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content((left, 6), [Inputs])
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content((mid, 6), [Process])
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content((right, 6), anchor: "west", [Outputs])
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content((left, 3), [Qubits])
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content((left, 2), [Gates])
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content((left, 1), [Connections])
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content((left, 0), text(fill: red)[Fidelities])
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content((left, -1), [Expressibility])
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content((left, -2), [Entanglement])
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content((left, -3), text(fill: red)[Noise Treshold])
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content((left, -4), text(fill: red)[Max Parameters])
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rect(cetz.vector.add((mid, 0), (-2, -2)), cetz.vector.add((mid, 0), (2, 2)), radius: (rest: .4), fill: rgb("#00b3dc"))
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content((mid, 0), text(size: 4em)[?])
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content((right, 3), [QML Kernels], anchor: "west")
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content(cetz.vector.add((right, 2), (1, 0)), anchor: "west", [Balanced])
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content(cetz.vector.add((right, 1), (1, 0)), anchor: "west", text(fill: red)[Best Expressibility])
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content(cetz.vector.add((right, 0), (1, 0)), anchor: "west", text(fill: red)[Best Entanglement])
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content(cetz.vector.add((right, -1), (1, 0)), anchor: "west", text(fill: red)[Least Noise])
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content(cetz.vector.add((right, -2), (1, 0)), anchor: "west", text(fill: red)[Fewer Parameters])
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})
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]
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]
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== The Process
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- Cost function based on
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- Expressibility
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- Entanglement
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- #text(fill: red)[Noise Treshold]
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- #text(fill: red)[Max Parameters]
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- Possible Methods used for problem specific impls already
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- Monte-Carlo Tree-Search
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- Machine Learning (many options)
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- Bayesian Optimization
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- Differentiable Optimization strategies
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#let chev(start, len, f: none) = {
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import cetz.draw: *
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line(fill: f,
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cetz.vector.add(start,(-1 , -1))
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, cetz.vector.add(start, (len - 1, -1))
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, cetz.vector.add(start,(len, 0))
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, cetz.vector.add(start, (len - 1, 1))
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, cetz.vector.add(start,(-1,1))
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, start
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, cetz.vector.add(start,(-1,-1)))
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}
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#let lg(color1, color2) = gradient.linear(color2, color1, color2, angle: 90deg)
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#let today-offset = (datetime.today() - datetime(day: 10, month: 11, year: 2025)).weeks()
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== Planning
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#slide[
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#cetz-canvas({
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import cetz.draw: *
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content((today-offset, 0), anchor: "south", [today])
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line((today-offset, -0.5), (today-offset, -5), stroke: (paint: rgb("#ff00cc")))
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for x in (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24) {
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content((x, 0), text(size: 12pt)[#(datetime(day: 10, month: 11, year: 2025) + duration(weeks: x)).display("[day]/[month]")], anchor: "north")
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line(stroke: (paint: lime, dash: "dashed"), (x, -0.5), (x,-5))
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}
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// yellow = literature
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// green = planning
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// blue = free
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// red = make thing
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line((5.5, -0.5), (5.5, -5), stroke: (paint: rgb("#ff00cc")))
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content((5.0, -5.1), anchor: "north", "Introduction")
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line((14.5, -0.5), (14.5, -5), stroke: (paint: rgb("#ff00cc")))
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content((14, -5.1), anchor: "north", "Midterm")
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chev((0.6,-2), 6.6, f: lg(yellow, yellow.darken(10%)))
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chev((6.2,-2), 1.0, f: gradient.linear(green, rgb(0,0,0,0), angle: 60deg).sharp(3).repeat(6))
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content((1.1,-2), anchor: "west", "Literature")
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chev((7, -2), 2, f: lg(blue.lighten(20%), blue.lighten(5%)))
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content((7, -3.5), anchor: "north", "Holiday")
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chev((9, -2), 6, f: lg(red, red.darken(10%)))
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content((10, -2), anchor: "west", "Make V1")
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chev((15.5, -2), 10.5, f: lg(red, red.darken(10%)))
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content((15.5, -1.5), anchor: "west", "Improvements")
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content((19.5, -2.5), anchor: "west", "Testing")
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chev((15.5 + 10.5, -2), 2, f: lg(purple, purple.darken(10%)))
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content((25.5, -3.5), anchor: "north", "Writing")
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})
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]
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