Quantum States

The Hidden Shape of Information

The Comfortable Illusion

Data is Just Fixed Numbers, Stored, Transmitted, and Processed

We’re trained to think of data as numbers sitting in memory: static, objective, and complete. You store it, send it, process it, and meaning emerges later, once some algorithm interprets it.

The cube offers a dynamic way to learn. Choose a topic or project that excites you. Internal links automatically pull the relevant parts you actually need from the adjacent areas. Combine theory and practical examples to your convenience.

So what do you really want to learn?

Part I – Foundations

You really want to start with the theory? But don't say I didn't warn you.
Quantum computing, machine learning, and ultimatively quantum machine learning share a common language. The Foundations-Part is all about this language. The mathematics, physics, and computational ideas that make Quantum Machine Learning make sense.
Fear The Terror Waiting For You Down The Rabbit Hole

Fear The Terror Waiting For You Down The Rabbit Hole

  • Math
    Linear Algebra, Tensor Analysis
    Probability and Statistics
    Complex Vector Spaces
    Group Theory and Symmetry
  • Physics and Quantum Mechanics
    Quantum Mechanics
    Physical Interpretation
    Quantum Systems and Models
  • Computer Science
    Classical Computation Models
    Computational Complexity
    Information Theory
  • Classical Machine Learning
    Core Paradigms
    Models and Architectures
    Optimization and Generalization

Part II - Quantum Information

Understand the most important concepts underlying to quantum computing

Part III – Implementation

Understand the most important concepts underlying to quantum computing

Part IV – Quantum Algorithmic Paradigms

Part V – Quantum Machine Learning

Part VI – Hardware and Validation

Choose how you want to explore Quantum Machine Learning
    Hardware and Physical Realization

    Hardware and Physical Realization

    Lorem ipsum

    Qubit Technologies
    Noise and Control
    Benchmarking Hardware
    Noise and Decoherence

    Noise and Decoherence

    Lorem ipsum

    Physical vs. Logical Qubits
    Sources of Noise
    Noise Models
    Error Mitigation

    Error Mitigation

    Lorem ipsum

    ZNE
    PEC
    CDR
    MEM
    Fault Tolerance and Error Correction

    Fault Tolerance and Error Correction

    Lorem ipsum

    Classical
    Stabilizer
    Surface Code
    Topological