Step-by-Step Guides
Quantum Computing Career Guides
Clear, numbered roadmaps that take you from the fundamentals to a job in quantum computing. Six paths cover the field: the software, hardware, research, machine learning, security, and business sides. Each guide lays out exactly what to learn at every step and links to the courses and hands-on tutorials that get you there. Pick the path that matches your background.
- Software path
How to Become a Quantum Developer
A step-by-step roadmap for the software side of quantum computing: the maths fundamentals, Python, frameworks like Qiskit and PennyLane, the canonical algorithms, running on real hardware, and landing the job.
View the roadmap → - Hardware path
How to Become a Quantum Engineer
A step-by-step roadmap for the hardware side of quantum computing: quantum mechanics, the physical qubit modalities, decoherence and noise, pulse-level control, quantum error correction, and getting hired.
View the roadmap → - Research path
How to Become a Quantum Research Scientist
A step-by-step roadmap for the theory side of quantum computing: deep mathematics, quantum mechanics, quantum information science, complexity theory, numerical verification, publishing, and the PhD route into academia or an industry research lab.
View the roadmap → - Applied ML path
How to Become a Quantum Machine Learning Engineer
A step-by-step roadmap for quantum machine learning: classical ML foundations, PennyLane and variational circuits, data encoding, quantum kernels, VQE and QAOA, training under noise, and full hybrid quantum-classical pipelines.
View the roadmap → - Security path
How to Become a Quantum Cryptography & Security Specialist
A step-by-step roadmap for quantum-safe security: classical cryptography, the quantum threat, the NIST post-quantum standards like Kyber and Dilithium, QKD protocols, the liboqs library, network security, and migration planning.
View the roadmap → - Business path
How to Become a Quantum Solutions Architect
A step-by-step roadmap for the applied, business side of quantum computing: broad quantum literacy, identifying use cases across finance, pharma and logistics, cloud platforms, ROI and roadmaps, and stakeholder communication.
View the roadmap →