Quantum Computing Fundamentals (Munich Quantum Valley)

Munich Quantum Valley is one of Europe’s most significant quantum technology initiatives, bringing together the Technical University of Munich, Ludwig Maximilian University of Munich, the Max Planck Institute, and the Bavarian Academy of Sciences. The collaboration spans quantum computing, quantum communication, and quantum sensing, with substantial investment from the German federal government and the state of Bavaria. The education programme reflects that depth: it is developed by researchers who work on real quantum hardware and algorithms, and it is structured to give beginners a solid foundation that connects to the frontier.

The course is designed as a genuine entry point. No prior quantum mechanics or advanced mathematics is assumed, and the content is structured to build intuition steadily before introducing more formal treatments.

What you’ll learn

The course begins with the qubit, explaining how a two-level quantum system differs from a classical bit and why that difference is computationally meaningful. Superposition and interference are introduced through the Bloch sphere representation, which gives a geometric picture of single-qubit states and operations before any linear algebra is required. Entanglement is developed next, with attention to both its counterintuitive properties and its role as a resource in quantum computation.

Quantum gates and circuits are covered systematically: single-qubit gates, the CNOT gate, and how universal gate sets are constructed. The course then introduces the major quantum algorithms at a level accessible to beginners, including Deutsch-Jozsa, Grover’s search, and the ideas behind Shor’s algorithm. The emphasis is on understanding why these algorithms work rather than on implementing them formally.

The hardware section is a distinctive feature of the Munich curriculum. Superconducting qubits, the technology at the heart of systems from IBM, Google, and Munich Quantum Valley’s own devices, are explained in terms of how they are built, how gates are implemented physically, and what the main sources of error are. Ion trap and photonic approaches are also surveyed. This hardware grounding gives beginners a realistic picture of where quantum computing stands today.

Who is this for

This course is designed for curious beginners with no prior quantum background: students in science, engineering, or computer science who want to understand what quantum computing actually is, professionals in technology-adjacent fields who need to understand quantum computing at more than a surface level, and anyone who wants to go beyond popular-science descriptions and engage with the real concepts.

Prerequisites

High school mathematics is the minimum requirement. Comfort with complex numbers and basic linear algebra will make the circuit sections easier to follow, but the course introduces these ideas from scratch. No physics beyond general scientific literacy is needed. No programming experience is required, though optional coding exercises are available for those who want to try a simulator.