Quantum programming that sparks joy.

PennyLane is a flexible and powerful open-source framework for quantum programming, packed full of easy-to-use features to help turn your research into results.

Get started with introductory tutorials

NEW RELEASE

PennyLane v0.41 and Catalyst v0.11 are out, with features including resource-efficient decompositions, end-to-end sparse execution, Qualtran integration, and more!

Read the blog post!

Get impactful research out faster.

PennyLane lets you code like you research. See how researchers are using PennyLane!

  • Abstractions for every researcher

  • Every layer is hackable

  • Differentiable everywhere

  • Future-facing capabilities

  • Diverse ecosystem of plugins

PennyLane features

  • PennyLane integrates seamlessly with the Python ecosystem.
  • Construct quantum circuits using an extensive range of available state preparations, gates and measurements.
  • Create flexible quantum algorithms and trainable programs.
  • Execute on the fastest simulators or on a wide range of hardware devices.
  • Access power-user functionality, from mid-circuit measurements to error mitigation.

Quantum computing demos

Quantum circuits quick start

  • PennyLane integrates seamlessly with the Python ecosystem.
  • Construct quantum circuits using an extensive range of available state preparations, gates and measurements.
  • Create flexible quantum algorithms and trainable programs.
  • Execute on the fastest simulators or on a wide range of hardware devices.
  • Access power-user functionality, from mid-circuit measurements to error mitigation.

Quantum computing demos

Quantum circuits quick start

Impactful research drives PennyLane

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What is quantum differentiable programming?

Everything in PennyLane is differentiable, including quantum circuits. This unlocks a brand new paradigm — from tweaking parameters to optimizing circuit structures, design the quantum program to fit your needs!