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Demos

Take a deeper dive into quantum computing by exploring cutting-edge algorithms using PennyLane and quantum hardware. Unlock new possibilities and push the boundaries of quantum research.

Choose a category, or have a look at demos made by our community.

All Demos
Demos based on papers
Algorithms
Devices and Performance
Getting Started
Optimization
Quantum Chemistry
Quantum Computing
Quantum Hardware
Quantum Machine Learning

New demos

  • Algorithms
  • Getting Started
  • Quantum Computing

Introducing matrix product states for quantum practitioners

  • Quantum Computing
  • Quantum Machine Learning

(g + P)-sim: Extending g-sim by non-DLA observables and gates

  • Getting Started
  • Quantum Computing

g-sim: Lie-algebraic classical simulations for variational quantum computing

  • Quantum Computing

What are magic states?

  • Quantum Computing
  • Quantum Hardware

Loom x Catalyst: designing, orchestrating, and automating quantum error correction experiments

  • Algorithms
  • Getting Started
  • Quantum Computing

Introducing matrix product states for quantum practitioners

  • Quantum Computing
  • Quantum Machine Learning

(g + P)-sim: Extending g-sim by non-DLA observables and gates

  • Getting Started
  • Quantum Computing

g-sim: Lie-algebraic classical simulations for variational quantum computing

  • Quantum Computing

What are magic states?

  • Quantum Computing
  • Quantum Hardware

Loom x Catalyst: designing, orchestrating, and automating quantum error correction experiments

  • Algorithms
  • Getting Started
  • Quantum Computing

Introducing matrix product states for quantum practitioners

  • Quantum Computing
  • Quantum Machine Learning

(g + P)-sim: Extending g-sim by non-DLA observables and gates

  • Getting Started
  • Quantum Computing

g-sim: Lie-algebraic classical simulations for variational quantum computing

Demos based on papers

See all (64)

Explore our expertly crafted research demos, all based on published papers, bringing cutting-edge studies to life. See how researchers are using PennyLane!

Active volume

Before you train: Pre-screening quantum kernels with geometric difference

Loading classical data with low-depth circuits

Resourcefulness of quantum states with Fourier analysis

Decoded Quantum Interferometry

X-ray Absorption Spectroscopy Simulation in the Time-Domain

Using PennyLane and Qualtran to analyze how QSP can improve measurements of molecular properties

The hidden cut problem for locating unentanglement

Quantum Chebyshev Transform

A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery

See all (64)

Getting Started

See all (5)

Introducing matrix product states for quantum practitioners

g-sim: Lie-algebraic classical simulations for variational quantum computing

Introduction to mid-circuit measurements

Introducing (dynamical) Lie algebras for quantum practitioners

Noisy circuits

See all (5)

Algorithms

See all (4)

Introducing matrix product states for quantum practitioners

Mapping fermionic Hamiltonians to qubit Hamiltonians

Magic state distillation

Multiclass margin classifier

See all (4)

Devices and Performance

See all (1)

Optimizing noisy circuits with Cirq

See all (1)

Optimization

See all (2)

Evaluating analytic gradients of pulse programs on quantum computers

Alleviating barren plateaus with local cost functions

See all (2)

Quantum Chemistry

See all (3)

Mapping fermionic Hamiltonians to qubit Hamiltonians

Optimization of molecular geometries

Measurement optimization

See all (3)

Quantum Computing

See all (13)

What are magic states?

Loom x Catalyst: designing, orchestrating, and automating quantum error correction experiments

Introducing matrix product states for quantum practitioners

(g + P)-sim: Extending g-sim by non-DLA observables and gates

g-sim: Lie-algebraic classical simulations for variational quantum computing

Introduction to mid-circuit measurements

Mapping fermionic Hamiltonians to qubit Hamiltonians

Magic state distillation

Introducing (dynamical) Lie algebras for quantum practitioners

Evaluating analytic gradients of pulse programs on quantum computers

See all (13)

Quantum Hardware

See all (5)

Loom x Catalyst: designing, orchestrating, and automating quantum error correction experiments

Evaluating analytic gradients of pulse programs on quantum computers

Is quantum computing useful before fault tolerance?

Neutral-atom quantum computers

Measurement-based quantum computation

See all (5)

Quantum Machine Learning

See all (1)

(g + P)-sim: Extending g-sim by non-DLA observables and gates

See all (1)
PennyLane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research. Created with ❤️ by Xanadu.

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