From 6f9a08da74ed5afb3544803a72401c967a5b27f2 Mon Sep 17 00:00:00 2001 From: Noa Aarts Date: Wed, 28 Jan 2026 12:50:45 +0100 Subject: [PATCH] add slides about week 12 --- presentations/progress.typ | 46 +++++++++++++++++++++++++++++++++----- 1 file changed, 40 insertions(+), 6 deletions(-) diff --git a/presentations/progress.typ b/presentations/progress.typ index 0b5e858..53f0ca9 100644 --- a/presentations/progress.typ +++ b/presentations/progress.typ @@ -16,7 +16,7 @@ title: "Implementation Specific QAS", // Required date: datetime.today().display(), authors: ("Noa Aarts"), - + // Optional Styling (for more / explanation see in the typst universe) // ignore how bad the images look i'll adjust it until Monday title-color: blue.darken(10%), @@ -55,6 +55,40 @@ #let today-offset = (datetime.today() - datetime(day: 10, month: 11, year: 2025)).weeks() += Week 12 +Making Baselines + +== Holiday and personal life + +- Holiday was very relaxed, didn't do a lot +- I have a boyfriend now +- I have surgery on feb-18 + - makes it hard to concentrate on university right now +- finished up QCQP course +- Starting grading of FQI exams, I might do it over the weekend + +== Training-Free QAS@training-free + +- Tried to reproduce, but circuits did not end up admissible. + - still didn't work with sampling change + - was not even close, at least a 10x worse performance of the outputs + - probably missed a step +- Similar performance in time though +- Sent a mail to the correspondent author + +== Genetic Algorithm QAS@genetic-expressibility + +- Tried to reproduce + - the circuits get mixed + - I can sort on the expressibilities + - They approximate the curve found in the paper + - I have done some hyperparameter exploration +- Still to do + - make actual plots + - compare the output circuit performance +- Also contacted authors + - While I think I did it correctly, I am not certain + = Week 6 The plan @@ -91,8 +125,8 @@ $->$ Need to keep offspring within hardware constraints == Implemented Genetic Algorithms for QAS -Applied in Arxiv submission "Genetic optimization of ansatz -expressibility for enhanced variational quantum algorithm +Applied in Arxiv submission "Genetic optimization of ansatz +expressibility for enhanced variational quantum algorithm performance."@genetic-expressibility Does: @@ -220,8 +254,8 @@ Two main groups: - "Sampling and filtering" Samples random circuits and uses proxies to filter -None of the QAS listed find an admissible circuit "in one shot" from what I can tell, -they all either optimise parameters as part of the search protocol or need +None of the QAS listed find an admissible circuit "in one shot" from what I can tell, +they all either optimise parameters as part of the search protocol or need multiple outputs to be optimised until a good enough one is found. @@ -541,7 +575,7 @@ Parts to maybe re-use: // // chev((15.5 + 10.5, -2), 2, f: lg(purple, purple.darken(10%))) // content((25.5, -3.5), anchor: "north", "Writing") - + }) ] ]