Eight tracks. One curriculum.

Start at Foundations and work forward, or jump to the track that solves a problem you have today.

01 Foundations

Linear algebra refresh, Dirac notation, qubits, superposition, measurement, and the Born rule. The shared vocabulary every later track depends on.

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02 Gates & Circuits

Publishing

Single-qubit gates, multi-qubit gates, universal gate sets, OpenQASM, and your first circuit on real hardware.

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03 Algorithms

Publishing

Deutsch-Jozsa, Bernstein-Vazirani, Simon, Grover, Quantum Fourier Transform, Phase Estimation, and Shor. The classic algorithms every quantum engineer knows cold.

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04 Variational Algorithms

Publishing

VQE, QAOA, and the hybrid classical/quantum paradigm that works on today's hardware.

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05 Quantum Machine Learning

Publishing

Variational classifiers, kernel methods, QML in PennyLane, and an honest look at when QML beats classical ML.

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06 Error Correction

Publishing

Noise, decoherence, the surface code, logical qubits, and why Willow mattered.

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07 Hardware

Publishing

Superconducting vs trapped-ion vs photonic vs neutral-atom. How modalities differ and how to pick the right one for a benchmark.

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08 Post-Quantum Cryptography

Publishing

ML-KEM, ML-DSA, hybrid TLS, migration planning, and how to audit a codebase for Y2Q readiness. The track that pays your rent today.

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