PennyLane
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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
Compilation
Getting Started
Optimization
Quantum Chemistry
Quantum Computing
Quantum Hardware
Quantum Machine Learning

New demos

  • Optimization
  • Quantum Machine Learning

Seeing quantum phase transitions with quantum computers

  • Algorithms
  • Quantum Computing

Intro to qubitization

  • Algorithms
  • Quantum Computing

Shadow Hamiltonian simulation

  • Algorithms

How to estimate the resource cost of QSVT

  • Quantum Computing

Resourcefulness of quantum states with Fourier analysis

  • Optimization
  • Quantum Machine Learning

Seeing quantum phase transitions with quantum computers

  • Algorithms
  • Quantum Computing

Intro to qubitization

  • Algorithms
  • Quantum Computing

Shadow Hamiltonian simulation

  • Algorithms

How to estimate the resource cost of QSVT

  • Quantum Computing

Resourcefulness of quantum states with Fourier analysis

  • Optimization
  • Quantum Machine Learning

Seeing quantum phase transitions with quantum computers

  • Algorithms
  • Quantum Computing

Intro to qubitization

  • Algorithms
  • Quantum Computing

Shadow Hamiltonian simulation

Demos based on papers

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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

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Getting Started

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Gate calibration with reinforcement learning

Basic tutorial: qubit rotation

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Algorithms

See all (5)

How to estimate the resource cost of QSVT

Intro to qubitization

Shadow Hamiltonian simulation

Qutrits and quantum algorithms

Quantum Circuit Cutting

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Compilation

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Quantum circuit structure learning

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Optimization

See all (6)

Seeing quantum phase transitions with quantum computers

Gate calibration with reinforcement learning

Variationally optimizing measurement protocols

Frugal shot optimization with Rosalin

Quantum circuit structure learning

Quantum natural gradient

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Quantum Chemistry

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Resource estimation for quantum chemistry

Qubit tapering

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Quantum Computing

See all (6)

Resourcefulness of quantum states with Fourier analysis

Intro to qubitization

Shadow Hamiltonian simulation

Qutrits and quantum algorithms

Quantum Circuit Cutting

Quantum computing with superconducting qubits

See all (6)

Quantum Hardware

See all (2)

Gate calibration with reinforcement learning

Quantum computing with superconducting qubits

See all (2)

Quantum Machine Learning

See all (5)

Seeing quantum phase transitions with quantum computers

Dropout in Quantum Neural Networks

Quantum GANs

Quanvolutional Neural Networks

Quantum transfer learning

See all (5)
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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