PennyLane
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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.

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Demos based on papers
Algorithms
Compilation
Devices and Performance
Getting Started
How-to
Optimization
Quantum Chemistry
Quantum Computing
Quantum Hardware
Quantum Machine Learning

New demos

  • Quantum Computing

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

  • Algorithms
  • Quantum Computing
  • Quantum Machine Learning

Post Variational Quantum Neural Networks

  • Getting Started
  • Quantum Computing
  • Quantum Machine Learning

Multidimensional regression with a variational quantum circuit

  • Quantum Machine Learning

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

  • Algorithms
  • Quantum Chemistry

X-ray Absorption Spectroscopy Simulation in the Time-Domain

  • Quantum Computing

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

  • Algorithms
  • Quantum Computing
  • Quantum Machine Learning

Post Variational Quantum Neural Networks

  • Getting Started
  • Quantum Computing
  • Quantum Machine Learning

Multidimensional regression with a variational quantum circuit

  • Quantum Machine Learning

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

  • Algorithms
  • Quantum Chemistry

X-ray Absorption Spectroscopy Simulation in the Time-Domain

  • Quantum Computing

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

  • Algorithms
  • Quantum Computing
  • Quantum Machine Learning

Post Variational Quantum Neural Networks

  • Getting Started
  • Quantum Computing
  • Quantum Machine Learning

Multidimensional regression with a variational quantum circuit

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 (2)

Multidimensional regression with a variational quantum circuit

Gate calibration with reinforcement learning

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Algorithms

See all (2)

X-ray Absorption Spectroscopy Simulation in the Time-Domain

Post Variational Quantum Neural Networks

See all (2)

Compilation

See all (1)

QJIT compilation with Qrack and Catalyst

See all (1)

Devices and Performance

See all (2)

QJIT compilation with Qrack and Catalyst

Pulse programming on Rydberg atom hardware

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How-to

See all (1)

How to implement VQD with PennyLane

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Optimization

See all (3)

Gate calibration with reinforcement learning

Quantum natural SPSA optimizer

Variational Quantum Thermalizer

See all (3)

Quantum Chemistry

See all (5)

X-ray Absorption Spectroscopy Simulation in the Time-Domain

How to implement VQD with PennyLane

Symmetry-invariant quantum machine learning force fields

Initial State Preparation for Quantum Chemistry

Modelling chemical reactions on a quantum computer

See all (5)

Quantum Computing

See all (5)

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

Post Variational Quantum Neural Networks

Multidimensional regression with a variational quantum circuit

Pulse programming on Rydberg atom hardware

Quantum advantage with Gaussian Boson Sampling

See all (5)

Quantum Hardware

See all (3)

Gate calibration with reinforcement learning

Pulse programming on Rydberg atom hardware

Quantum advantage with Gaussian Boson Sampling

See all (3)

Quantum Machine Learning

See all (10)

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

Post Variational Quantum Neural Networks

Multidimensional regression with a variational quantum circuit

Symmetry-invariant quantum machine learning force fields

Dropout in Quantum Neural Networks

Contextuality and inductive bias in QML

Generalization in QML from few training data

Machine learning for quantum many-body problems

Quantum GANs

The Quantum Graph Recurrent Neural Network

See all (10)
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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