[GSoC 2026] Considering QuantumClifford.jl

New to Julia
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Hi. I am new to Julia, but I’m seriously considering applying for the GSoC 2026 under Julia.

I have some background in performance analysis and optimization on GPUs (that’s my work on a daily basis right now), and I recently started programming in Julia. I came across the project idea for accelerating QuantumClifford.jl on GPUs, and I’m trying to assess whether it’s within my reach or not. I am aware that one of the best ways to do this is to just hack around with the software.

The thing is, I’m not sure where to start attacking the idea from: should I first get familiar with Julia’s GPU stack and profiling tools? Or should I first explore quantum computing and Clifford Circuits to get a feel for the domain?

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Thanks for the interest, @GlowingScrewdriver !

This tool is very domain specific. Not just within Quantum Information Science, but in an important subdomain of it. The concept of Stabilizer states and Clifford gates is crucial for being able to hack at it, maybe more than the GPU stack itself. The documentation includes a bibliography section with a pretty good description of the background and of suggested reading materials – going through them would let you gauge whether you will be productive in this project. Do not hesitate to message with questions here.