From bfd258450040b1c075964931af8bebb1e2299607 Mon Sep 17 00:00:00 2001 From: Noa Aarts Date: Fri, 12 Dec 2025 09:17:29 +0100 Subject: [PATCH] very barebones introduction --- report/sections/1introduction.typ | 34 +++++++++++++++++++++---------- 1 file changed, 23 insertions(+), 11 deletions(-) diff --git a/report/sections/1introduction.typ b/report/sections/1introduction.typ index 285a944..1e52abb 100644 --- a/report/sections/1introduction.typ +++ b/report/sections/1introduction.typ @@ -5,15 +5,27 @@ = Introduction -== Before starting -Okay, so as far as I currently know a Variational Quantum Eigensolver (VQE) is a semi-quantum way to find eigenvalues -for a matrix. -They currently are mostly using Hardware Efficient Ansatze. // TODO: needs facts -These Ansatze are optimized for relatively small connectivity, and don't keep errors into account that much. -I want to figure out if this can be done better, by using a descriptor format of the hardware including connections -between qubits etc. is it possible to make ansatze that are better in -- fewer parameters -- less error prone -- speed of optimisation +In the NISQ era quantum-classical hybrid methods are better due to the limited depth, bla bla bla + +There has been significant research into various methods of Quantum Architecture Search (QAS), +(list a bunch). +Most of these have been searches that are specific to the problem that is being solved, +so the Paremetrized quantum circuits (PQCs) are generally not transferrable between different problems. + +There has also been a bit of research into task-agnostic QAS, where search +can be performed once per hardware iteration instead of per problem, using proxies like expressibility +and entanglement (CITE THE PAPER). +Where maybe some finetuning can help specialise into a specific problem afterwards. (HYPOTHETICAL) + +These task-agnostic searches have yet to include things like noise, arbitrary connectivity graphs +and allowed gate types on a per-qubit basis. And also haven't shown great scalability to architectures +with more qubits. + +This research proposes a Task-Agnostic Evolutionary QAS implementing +hardware constraints and noise profiles able to target circuits with a +user-specified expressibility and entanglement to be able to mitigate the barren plateaus from +an expressibility that's too high (cite). + +To achieve these goals a python library will be made that allows for composing various filters +and generators together (with multithreading) to help with developing and iterating on QAS methods. -That is what I will go and try figuring out I think