Eight tracks. One curriculum.

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

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

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

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

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

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

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

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