Mathematical Training Designed Around Your Technical Goals
QF Academy helps you build the mathematical depth needed for AI, quantum computing, cryptography, research, and advanced technical careers. After onboarding, we recommend a study path that fits your background, available time, and technical direction.
When AI systems produce fluent answers, the harder skill is knowing what is correct, what is missing, and why the reasoning holds. QF trains learners to work through definitions, proofs, calculations, and technical arguments with care.
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Watch a Free LectureChoose the Right Route Through the Mathematics
QF is not built around isolated courses. We guide each learner toward a path that fits their background, available time, and technical direction.
Foundational Training
For learners who need the core mathematical language first, including linear algebra, analysis, probability, topology, group theory, and quantum foundations.
View Foundational TrainingFocus Tracks
For learners ready to follow one technical direction at a time, after QF checks prerequisites and preparation.
View Focus TracksProject-Based Specialisations
For learners ready to connect advanced mathematics with written submissions, technical projects, and reviewable output.
View SpecialisationsOCW-Supported Study
Independent QF study routes around selected MIT OpenCourseWare materials, with QF problem sheets, grading, and certificates.
View OCW Study RoutesMIT OpenCourseWare materials are created and published by MIT OpenCourseWare and remain freely available through OCW. QF Academy adds independent study routes around selected OCW materials, with QF-created problem sheets, written submissions, grading, and QF certificates of completion. QF Academy is not affiliated with, endorsed by, sponsored by, certified by, or approved by MIT.
Where Mathematical Training Can Take You
These are common directions QF learners work toward. The aim is to build enough mathematical command to read harder material, ask sharper questions, and contribute with precision.
Artificial Intelligence
Build the mathematical grounding to read papers, question model behaviour, understand optimisation, and communicate clearly through functional analysis, measure theory, probability, and linear algebra.
Quantum Computing
Develop the linear algebra, functional analysis, representation theory, and Lie-theoretic background needed to understand quantum algorithms and systems beyond surface-level familiarity.
Condensed Matter Physics
Strengthen the topology, representation theory, and mathematical physics needed to read harder papers, analyse many-body systems, and contribute to research-led work.
Bioinformatics
Use topological data analysis, statistics, and mathematical modelling to analyse genomic data, study biological systems, and build technical credibility in computational life sciences.
Cryptography
Use algebra, number theory, probability, and proof-based reasoning to understand modern cryptography, post-quantum security, and protocol design.
Advanced Computer Science
Build the mathematical maturity needed for formal methods, verification, category theory, logic, and research-heavy computing.
Computational Chemistry
Develop geometric, algebraic, and analytical tools used in molecular modelling, materials work, and computational chemistry.
Computational Physics
Build the analytical and numerical background for simulation-heavy work in science and engineering, from differential equations to computational modelling.
Financial Modelling
Use real analysis, measure theory, probability, and stochastic processes to approach quantitative finance, modelling, and risk work with more than loose intuition.
What Learners Built Through QF
I'm especially grateful to Brian Hepler, PhD, for his exceptional teaching and to the QF Academy team, particularly Bamborde Balde, for providing such a high-quality learning experience. It's not often you find a course combining advanced theory with real-world quantum applications so effectively.
Claudia Zendejas-Morales
Physicist
I gained valuable insights from completing a Quantum Formalism course on Group Theory, Topology and Manifolds - useful for my PhD in QML. My mentor Bamborde Balde met with me personally to tailor my study plan and made invaluable comments.
Daniel Goldsmith
Senior Quantum Technologist & PhD Researcher in QML
Thank you to Quantum Formalism for making abstract mathematics more accessible to industry-based researchers. It's been a rewarding experience exploring the different phases.
Senaka Samarasekera
AI ML Algorithms and Signal Processing Engineer
This course significantly improved my understanding of proof-based linear algebra, provided valuable feedback from PhD mathematicians, and enhanced my communication skills in a technical context.
Hanseul Kim
Deep Learning Researcher
My first foray into proper metric topology while proving everything as we went. Everyone was very welcoming and enthusiastic. The end result was an incredibly rewarding experience.
Dave Jones
VP, Lead Software Engineer
I’m following Group Theory 360 and very much appreciate the Lie Theory and Cryptography-related examples.
I studied this material years ago, and it is wonderful to have the chance to refresh and update my knowledge and to see recent applications.
Eddie (Edward) Jennings
Chief Engineer, Scientist
Commercial Solutions for Classified
Solution Architect, Technical Fellow
Structured Programmes. Assessed Mathematical Work.
Watching lectures is not the same as doing mathematics. QF is built around problem solving, feedback, written reasoning, and assessed work.
Feedback from Mathematicians
You study with mathematicians and technical specialists who can evaluate proofs, spot gaps, and help you improve how you think and communicate.
Programmes Built Around Direction
QF programmes connect mathematical foundations to areas where depth changes what you can read, build, or contribute to: AI, quantum computing, cryptography, physics, finance, and scientific computing.
Work Beyond Completion
Assignments, projects, mentoring, and selected public-facing work help others assess what you have done.
Join a Community Built Around Technical Depth
QF brings together learners, researchers, engineers, and builders who want more mathematical depth.
A Network for People Doing Hard Technical Work
As a member, you gain access to our Substack community of over 9,000 researchers, engineers, and lifelong learners. Discuss ideas, compare approaches, ask better questions, and learn alongside people working on demanding technical problems.
Explore Our CommunityFor Learners Who Want More Than Content
This is for learners who do not want to stop at watching lectures. It is for people willing to solve problems, receive feedback, and submit work that can be reviewed.
Researchers
Strengthen the mathematical tools behind your research direction so you can read, test, and communicate ideas more clearly.
Graduate Students
Fill gaps, prepare for harder papers, and communicate mathematics more clearly as your thesis or research direction develops.
Industry Professionals
Move beyond implementation work by building evidence that you can handle harder technical material.
Lifelong Learners
Study with structure and feedback instead of collecting disconnected resources.
Not Sure Where to Start?
Book a free 45-minute discovery call to discuss your background, current level, and the technical direction you want to move toward. We can explain how QF works and which starting point is likely to fit.
No pressure to enrol. The call is there to understand your preparation, the workload, and the most sensible starting point.
Schedule a Free 45-Minute CallFrom Onboarding to Assessed Work
A route through onboarding, recommended study, and work that can be reviewed and discussed.
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Explore Programmes
Start from the programme, plan, or technical direction that fits what you want to pursue.
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Start Onboarding
Discuss your background, current level, available time, and target field with QF.
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Get Access
Receive your login and entry point into the academy environment, programme materials, and study infrastructure.
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Set the Study Route
Use onboarding and guidance from QF to shape a route that fits your preparation, target field, and available time.
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Do the Work
Work through programme materials, problem sheets, assignments, workshops, and feedback cycles that build sound technical habits.
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Show the Work
Turn completed work into projects, profiles, references, and clearer technical communication.
Career Acceleration Through Mathematical Work
QF is built for learners who want career progress grounded in mathematical growth, assessed work, and technical output that can support applications, projects, and research conversations.
Prepare for Harder Technical Roles
Use mathematical preparation, mentoring, and network access to become a more credible candidate for research, applied science, and technically demanding roles.
Move Towards Harder Work
Assignments, workshops, and feedback help you move beyond surface implementation towards work that requires analysis, judgement, and proof-based communication.
Build a Public Record of Work
Use QF Academy profiles, projects, and selected public-facing work to show work that others can inspect.
If You Do the Work, QF Backs the Programme
If you complete the agreed programme pathway, follow the published terms, and do not reach a qualifying professional outcome, QF will refund the eligible programme fee.
// How the Programme Guarantee Works
The guarantee is tied to structured study, feedback, assessed work, and the published programme terms.
Our learners and community members include professionals from organisations such as
And graduate students or researchers from universities such as
Ready to Plan Your Mathematical Route?
Start with the programme hub or book a discovery call. QF can help you decide whether foundational training, a focus track, an OCW-supported route, or a project-based specialisation should come first.