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What we cover

What you can go deep on

Pick depth over breadth.

QuantumX School isn't one fixed quantum computing course, it's a set of research tracks you can go deep on. Whether you're starting from zero with quantum computing foundations, or you already know your way around linear algebra and want to specialise in post-quantum cryptography, quantum machine learning, quantum communication, or quantum hardware, every track is built the same way: real problems, real tools, and mentors who work in the field.

You pick the track that matches where you actually want to end up, rather than sitting through a fixed, one-size-fits-all syllabus. Most learners start with quantum computing foundations before branching into a specialisation, using open-source tools like Qiskit, Cirq, and QuTiP from the first week.

Core

Quantum computing foundations

Qubits, gates, and circuits from the ground up. The base every other track builds on.

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Theory

Algorithms and simulation

From Grover and Shor to variational methods. Reason about what quantum can actually speed up.

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Security

Post quantum cryptography

The math that survives a quantum computer. Lattices, hashes, and the migration ahead.

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AI

Quantum machine learning

Where quantum meets ML. Quantum kernels, hybrid models, and honest benchmarks.

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Networks

Quantum communication and QKD

Entanglement as infrastructure. Key distribution, repeaters, and the quantum internet.

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Physical

Hardware and electronics

Inside the machine. Superconducting qubits, control stacks, and the engineering reality.

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Tooling

AI tools for quantum software

Build the tools that build quantum software. Compilers, copilots, and developer workflows.

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Ready to start with the fundamentals? Join Introduction to Quantum Computing, our live cohort-based quantum computing course for beginners.