edX Quantum 201: Quantum Computing & Quantum Internet
  • 2 courses of 4 weeks, 6-8 hours per week
  • advanced
  • Certificate
  • $333
Quantum 201: Quantum Computing & Quantum Internet
  • edX
  • advanced
  • $333

Quantum 201: Quantum Computing & Quantum Internet

2 courses of 4 weeks, 6-8 hours per week By Delft University of Technology (QuTech)

Level
advanced
Format
Professional certificate
Duration
2 courses of 4 weeks, 6-8 hours per week
Provider
edX
Certificate
Yes
Price
$333

Skills you'll gain

  • Quantum Algorithms
  • Quantum Communication
  • Quantum Bits
  • Quantum Operations
  • Quantum Measurements

Building directly on Quantum 101, this programme consists of two advanced courses providing deeper mathematical and conceptual understanding of quantum computing and quantum communication. Where Quantum 101 builds foundations, Quantum 201 develops professional-level depth - the kind needed to work with real quantum algorithms and the error correction that makes fault-tolerant quantum computing possible.

Authored by researchers from the QuTech research centre at Delft University of Technology, where scientists and engineers drive quantum technology research.

What you’ll learn

Course structure

Quantum 201 consists of two self-paced courses.

Course 1 - Fundamentals of Quantum Information Revisits qubits and quantum operations at a significantly higher mathematical level than Quantum 101. Dirac notation, state vectors, and tensor products become the primary tools. Single- and two-qubit gates are treated geometrically and algebraically, entanglement is characterised mathematically, and the course closes with quantum information protocols such as teleportation and superdense coding. Runs four weeks at six to eight hours per week.

Course 2 - Quantum Error Correction and Algorithms Covers quantum algorithms and the principles of quantum error correction for fault-tolerant quantum computing through a full-stack overview spanning hardware and software. Quantum phase estimation, Shor’s algorithm, and Grover’s search are worked through in detail, followed by stabiliser codes and the surface code. Runs four weeks at six to eight hours per week.

Both courses assume Quantum 101 content and linear algebra as prerequisites.

Who is this for?

  • Quantum 101 graduates ready to develop depth in quantum information and algorithms
  • Graduate students and researchers wanting formal treatment of advanced quantum topics
  • Quantum software engineers who want to understand the mathematical foundations of the algorithms they implement
  • Engineers who want to understand what fault-tolerant quantum computing demands in practice
  • Anyone who wants to be able to read quantum information research papers with genuine comprehension

Prerequisites

Completion of Quantum 101 (or equivalent) is required. You must be comfortable with quantum circuits, Dirac notation, and entanglement at Quantum 101 level. Linear algebra at the level of eigenvalue decompositions and complex vector spaces is essential. Some familiarity with probability theory and modular arithmetic helps for the algorithms material.

Hands-on practice

Problem sets at Quantum 201 level require genuine mathematical work:

  • Calculating quantum states after gate sequences by hand and verifying circuit equivalences algebraically
  • Constructing circuits that prepare specific entangled states
  • Verifying the quantum teleportation protocol step by step
  • Working through Shor’s algorithm for small factoring examples
  • Simulating error correction rounds and estimating logical error rates for stabiliser codes

The mathematical demands are comparable to a graduate quantum information science course - this is not a passive learning experience.

Why take this course?

Quantum 201 bridges the gap between accessible introductions and research-level material.

After completing it, you will be able to read quantum algorithm research papers and follow the mathematical arguments. You will understand why quantum error correction is essential and what it costs, with the precision needed to evaluate hardware claims critically. You will be equipped to contribute meaningfully to quantum software development at the algorithm layer.

QuTech’s researchers bring both mathematical rigor and practical clarity - a combination that is harder to find than it sounds in quantum computing education. This programme is the natural next step after Quantum 101 for anyone serious about the field.

Practise the concepts from this course with these hands-on tutorials:

Topics covered

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