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  1. Docs
  2. What to expect next
Learn
  • Quantum basics
  • OpenQASM 3 cheat sheet
  • All gates, with the math
  • Every gate, interactive
  • Entanglement: how CNOT connects qubits
Circuits
  • Dynamic circuits: if/else, loops and conditions
Lessons
  • Learning path: from one qubit to algorithms
  • Quantum machine learning by hand
Run
  • Compile (transpile): levels, basis gates, topology
  • Simulators, noise, T1/T2 and fake backends
  • Python in the Playground
  • GitHub and git in the Playground
  • Articles and sharing
Analyze
  • Metrics: comparing distributions
  • Q-sphere and Bloch spheres
Hardware
  • Real IBM Quantum hardware
  • Device topology and calibration heat maps
  • Benchmark circuits: MQT Bench and QASMBench
Advanced
  • Circuit cutting, in depth
Story
  • The story of quantum computing
  • The Hamiltonian: where gates come from
  • What to expect next
Documentation/Story/What to expect next

What to expect next

Where the field is heading in the next years, and how each direction already shows up in this IDE.

  1. now → 2027

    Error mitigation and cutting on 100+ qubit NISQ chips

    Expect utility-scale experiments to keep combining error mitigation (zero-noise extrapolation, probabilistic error cancellation) with circuit cutting and knitting so that a problem spans several chips. The Circuit cutting chapter walks through a small version of that workflow.

  2. 2027 → 2029

    Fault-tolerant prototypes

    Roadmaps from IBM (Starling), Google and the neutral-atom and ion companies target a few hundred logical qubits with error rates around 10⁻⁶ to 10⁻⁸, using qLDPC or surface codes. The gates you learn here stay the same; what changes is that T gates become expensive and Cliffords cheap, so T-count becomes the metric to minimize.

  3. 2030s

    Applications

    Chemistry (catalysts, batteries, nitrogen fixation), materials, optimization, and simulation of quantum field theories are the consensus first targets; machine learning advantage remains debated. Shor-scale factoring needs millions of physical qubits and is the furthest out, but post-quantum cryptography is being deployed now because of it.

  4. for you

    What to learn

    Linear algebra and the Bloch sphere (Playground), how transpilers trade depth for gate count (Compile), how noise behaves (Simulate with fake backends), and how to split problems across devices (Cutting). Those skills transfer to every hardware generation.

Forecasts are company roadmaps and community consensus as of 2026, not promises. Treat dates as ±2 years.

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