Structured journeys

Learning Paths

Four paths from complete beginner to research-ready. Pick where you are now -- each path builds on the last.

  1. 01 Beginner

    The Complete Beginner

    Understand quantum computing concepts without any maths

    Where you're headed

    You'll be the person who can explain superposition, entanglement, and why quantum computers matter -- without hand-waving -- to anyone who asks. You'll understand what IBM and Google are actually building and why it isn't just faster classical computing.

    2-3 weeks · ~20 min/day
    None
    1. Start here Introduction to Quantum Computing

      Free Coursera course, no maths required, great conceptual grounding.

    2. Read What is a Qubit?

      Clear explanation of how qubits differ from classical bits.

    3. Read Quantum Entanglement Explained

      What entanglement actually means and why it matters.

    4. Explore Bloch Sphere Simulator

      Visualize qubit states interactively, see superposition in action.

      You can now visualize a qubit state. That mental picture will stay with you.
    5. Browse Quantum Computing Glossary

      Key terms explained in plain language. Bookmark and revisit.

    6. Optional Quantum Pinball

      Learn gate sequences through gameplay. Surprisingly effective.

    You now understand quantum computing.

    If a step is hard, that's useful information -- it tells you exactly what to study next. Hard is not the same as wrong direction.

  2. 02 Intermediate

    First Quantum Code (Qiskit)

    Write and run your first quantum circuits in Python

    Where you're headed

    You'll open a Jupyter notebook, write a quantum circuit from scratch, run it on real IBM quantum hardware over the cloud, and understand every line of output -- including what the noise means. Quantum programming will feel like programming.

    4-6 weeks · ~30 min/day
    Python basics, high school maths
    1. Prerequisite Linear Algebra (Brilliant)

      Self-paced, fills the maths gaps you'll need for circuits.

    2. Foundation Quantum Gates Explained

      How gates work and the matrix maths behind H, CNOT, and Toffoli.

    3. Code Hello World: Qiskit

      Your first quantum circuit from scratch: install, build, and run.

      You've run real quantum code. Every quantum programmer started exactly here.
    4. Deep dive Getting Started with Qiskit

      Circuits, backends, transpilation, and running on real IBM hardware.

    5. Reference Qiskit Framework Reference

      API overview and code examples to keep open while you work.

    6. Algorithm Bernstein-Vazirani Algorithm

      Find a hidden string in one query. The cleanest example of quantum speedup.

    7. Algorithm Grover's Algorithm

      The canonical quantum search speedup. Implement it step by step.

      You've implemented a real quantum algorithm. This is the thing Lov Grover proved in 1996.
    8. Algorithm Shor's Algorithm

      How quantum computers threaten RSA, and the maths behind it.

    9. Advanced Quantum Algorithms and Error Correction (Delft/edX)

      Free to audit. Takes you from circuits to real algorithms.

    You are now a quantum programmer.

    If a step is hard, that's useful information -- it tells you exactly what to study next. Hard is not the same as wrong direction.

  3. 03 Advanced

    Quantum Machine Learning

    Apply quantum computing to machine learning problems

    Where you're headed

    You'll implement a quantum classifier in PennyLane, train it on real data, compare it to its classical equivalent, and have a grounded opinion on where quantum ML is actually useful versus where it's hype. That last part matters.

    6-8 weeks · ~45 min/day
    Python, numpy/sklearn, basic linear algebra
    1. Foundation PennyLane Hello World

      First circuits in PennyLane, the leading framework for quantum ML.

    2. Core Quantum ML Classifier with PennyLane

      Build a variational quantum classifier and train it on real data.

      You've trained a quantum model. This is genuinely new territory for most engineers.
    3. Advanced VQE with PennyLane

      Variational Quantum Eigensolver: optimising parameterised circuits.

    4. Reference PennyLane Framework Reference

      Devices, transforms, and autodiff -- the API you'll use daily.

    5. Theory Variational Quantum Eigensolver (Glossary)

      Deep-dive entry on VQE and variational algorithms.

    6. Case study AWS and QC Ware: Quantum Kernels for Financial ML

      Real-world quantum kernel methods applied to financial data.

    You can evaluate quantum ML claims critically -- and build the models yourself.

    If a step is hard, that's useful information -- it tells you exactly what to study next. Hard is not the same as wrong direction.

  4. 04 Research

    Research Track

    Develop deep theoretical and practical understanding for research or engineering roles

    Where you're headed

    You'll read a new quantum algorithm paper, trace through the circuit construction, identify what hardware constraints it assumes, and hold an informed conversation with researchers working in the field. You'll know what questions to ask.

    3-6 months · ~60 min/day
    Linear algebra, complex numbers, basic physics
    1. Mathematics Complex Numbers + Linear Algebra (Brilliant)

      Both courses together form the essential mathematical foundation.

    2. Core programme Quantum 101 Professional Certificate (Delft/edX)

      Four-course programme covering theory, hardware, and algorithms. Free to audit.

      Completing this programme puts you in rare company. Most people who study quantum computing never get this far.
    3. Algorithms Quantum Algorithms and Error Correction (Delft/edX)

      Error correction and fault tolerance -- the path to practical QC.

    4. Hardware Key Hardware Concepts

      Study Surface Code, Fault-Tolerant QC, and Logical Qubit entries in depth.

    5. Frameworks Multiple Frameworks

      Try Qiskit, Cirq, PennyLane, and Braket. Compare their models and use cases.

    6. Case studies All Case Studies

      Read every case study to understand real-world applications across industries.

    You can engage with the frontier of quantum computing.

    If a step is hard, that's useful information -- it tells you exactly what to study next. Hard is not the same as wrong direction.

Have questions?

See the FAQ for common questions about prerequisites and timelines. Browse the Glossary for any unfamiliar terms.

All Courses Free Tutorials FAQ