diff --git a/flake.lock b/flake.lock index 47e30ad..6c0bafd 100644 --- a/flake.lock +++ b/flake.lock @@ -37,22 +37,6 @@ "type": "github" } }, - "flake-compat": { - "flake": false, - "locked": { - "lastModified": 1767039857, - "narHash": "sha256-vNpUSpF5Nuw8xvDLj2KCwwksIbjua2LZCqhV1LNRDns=", - "owner": "NixOS", - "repo": "flake-compat", - "rev": "5edf11c44bc78a0d334f6334cdaf7d60d732daab", - "type": "github" - }, - "original": { - "owner": "NixOS", - "repo": "flake-compat", - "type": "github" - } - }, "flake-parts": { "inputs": { "nixpkgs-lib": "nixpkgs-lib" @@ -73,11 +57,11 @@ }, "nixpkgs": { "locked": { - "lastModified": 1772956932, - "narHash": "sha256-M0yS4AafhKxPPmOHGqIV0iKxgNO8bHDWdl1kOwGBwRY=", + "lastModified": 1767364772, + "narHash": "sha256-fFUnEYMla8b7UKjijLnMe+oVFOz6HjijGGNS1l7dYaQ=", "owner": "nixos", "repo": "nixpkgs", - "rev": "608d0cadfed240589a7eea422407a547ad626a14", + "rev": "16c7794d0a28b5a37904d55bcca36003b9109aaa", "type": "github" }, "original": { @@ -137,24 +121,39 @@ "url": "https://static.rust-lang.org/dist/channel-rust-1.91.0.toml" } }, + "systems": { + "locked": { + "lastModified": 1681028828, + "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=", + "owner": "nix-systems", + "repo": "default", + "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e", + "type": "github" + }, + "original": { + "owner": "nix-systems", + "repo": "default", + "type": "github" + } + }, "typst": { "inputs": { "crane": "crane", "fenix": "fenix", - "flake-compat": "flake-compat", "flake-parts": "flake-parts", "nixpkgs": [ "nixpkgs" ], "rust-manifest": "rust-manifest", + "systems": "systems", "typst": "typst_2" }, "locked": { - "lastModified": 1769829890, - "narHash": "sha256-MxaI0XTFOdFGhPZ5Vx3w+se3aEY9wBU/LpUw3mlv4XQ=", + "lastModified": 1767654408, + "narHash": "sha256-7YhRyF2u7CuhBLMpKnHZy9D5Y2L6k9LRLGf3SE0AUYc=", "owner": "typst", "repo": "typst-flake", - "rev": "0862b4b4c562fdc245063519b012507951a53181", + "rev": "ec2389e45e1014c746a3a1d6a222cde352c56886", "type": "github" }, "original": { diff --git a/post-op.md b/post-op.md index 51677ef..0815346 100644 --- a/post-op.md +++ b/post-op.md @@ -2,8 +2,6 @@ Hello me, this is a list for you to get back on track with the QD-QAS you were working on... -Tell Sebastian and Koen "I'm back" - ## Things I've done I have made baselines for two types of optimization free QAS, namely TF-QAS and GA-QAS. diff --git a/presentations/progress.typ b/presentations/progress.typ index b5a28f9..fefe258 100644 --- a/presentations/progress.typ +++ b/presentations/progress.typ @@ -3,7 +3,6 @@ #import "@preview/cetz:0.3.4" #import "@preview/typsium:0.2.0": ce #import "@preview/numbly:0.1.0": numbly -#import "@preview/fletcher:0.5.8": * #import "./theme.typ": * #set heading(numbering: numbly("{1}.", default: "1.1")) @@ -56,81 +55,10 @@ #let today-offset = (datetime.today() - datetime(day: 10, month: 11, year: 2025)).weeks() -= Week ?? - -Post Surgery - -== Content - -- Research question -- Solution Architecture -- Comparing with other methods - -== Research Question - -- Uncertain about the wording -#pause -How does Quality-Diversity based Quantum Architecture Search compare to the state-of-the-art in QAS -in speed, noise performance and transferability between problems? - -== Hypothesis - -I think the speed of the search itself will be comparable to the GA-QAS, which is slower than -TF-QAS but likely faster then problem specific searches. - -In noise performance I think it would be possible to improve upon both GA-QAS and TF-QAS as neither -attempts to optimize for it. - -I think the transferability of the output will be a significant improvement over TF-QAS, -especially when counting the whole set of PQCs. - -== QD-QAS architecture - -#let nodes = ("Make Initial Population", "Create Offspring", "Calculate Cost Function", "Take Best Offspring", "Offspring Becomes Parents") -#let edges = ( - (0, 1), - (1, 2), - (2, 3), - (3, 4), - (4, 1), -) -#align(center + horizon)[ -#diagram({ - for (i, n) in nodes.enumerate() { - let θ = -90deg + i*360deg/nodes.len() - node((θ, 0.8), n, stroke: 0.5pt, name: str(i)) - } - for (from, to) in edges { - let bend = if (to, from) in edges { 10deg } else { 5deg } - // refer to nodes by label, e.g., <1> - edge(label(str(from)), label(str(to)), "-|>", bend: bend) - } -}) -] - -== Comparing - -- Preferences - - Same benchmarks for all QAS types - - Not implementing tests multiple times - - Consistent program outputs - - -== Comparing - -- Options I see - - Replicate other papers to have consistent outputs \ - \- need to get it all working as expected \ - \+ will have identical tests and outputs - - Create an interface and adapt the other papers to it \ - \- limited by the lowest common denominator \ - \+ don't need to fully replicate papers - - Use the tests of the other papers \ - \- Likely can't compare all together \ - \- Can't choose tests freely \ - \+ Not necessary to rerun tests of the other papers \ - \+ Don't have to implement tests for the other papers += Week 13 +Pre-OP wrapup +== = Week 12 Making Baselines diff --git a/src/all_qas.py b/src/all_qas.py old mode 100755 new mode 100644