Maths for Quantum Jobs: The Only Topics You Actually Need (& How to Learn Them) Linear algebra essentials, probability, complex numbers, basic optimisation.
If you are a software engineer, data scientist or ML engineer looking to move into quantum computing or you are a UK undergraduate or postgraduate in physics, maths, computer science or engineering applying for quantum roles, the maths can feel like the biggest barrier. Job descriptions often say “strong maths” but rarely spell out what that means in practice. The good news is you do not need a full maths degree’s worth of theory to start applying. For most graduate & early-career roles in quantum software, quantum research engineering & quantum algorithms, the maths you actually use again & again is concentrated in four areas: linear algebra, probability, complex numbers & basic optimisation. This guide turns vague requirements into a clear, job-focused checklist. You will learn what to focus on, what to leave for later & how to build small portfolio outputs that prove you can translate the maths into working code.