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.

Demos based on papers

Devices and Performance

Getting Started

Quantum Chemistry

Quantum Computing

Quantum Hardware

Quantum Machine Learning

New demos

Quantum Computing
Quantum Hardware

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

Quantum Computing

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

Quantum Computing

Decoding Quantum Errors on the Steane code with Belief Propagation & Catalyst

Demos based on papers

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

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

Getting Started

How to use Catalyst with Lightning-GPU

Introducing tensor networks for quantum practitioners

How to build spin Hamiltonians

Multidimensional regression with a variational quantum circuit

Algorithms

Stabilizer codes for quantum error correction

The hidden cut problem for locating unentanglement

Quantum Chebyshev Transform

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

Devices and Performance

Quantum just-in-time compiling Shor's algorithm with Catalyst

How to use Catalyst with Lightning-GPU

How to quantum just-in-time (QJIT) compile Grover's algorithm with Catalyst

Using the BlueQubit (CPU) device with PennyLane

How-to

How to use Qualtran with PennyLane

How to build compressed double-factorized Hamiltonians

How to use Catalyst with Lightning-GPU

How to build spin Hamiltonians

Optimization

Fast optimization of instantaneous quantum polynomial circuits

How to optimize a QML model using Catalyst and quantum just-in-time (QJIT) compilation

How to quantum just-in-time compile VQE with Catalyst

Gate calibration with reinforcement learning

Quantum Chemistry

How to build compressed double-factorized Hamiltonians

How to use Catalyst with Lightning-GPU

Generative quantum eigensolver training using PennyLane data

How to implement VQD with PennyLane

Quantum Computing

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

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

Decoding Quantum Errors on the Steane code with Belief Propagation & Catalyst

Stabilizer codes for quantum error correction

Quantum Hardware

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

Stabilizer codes for quantum error correction

Gate calibration with reinforcement learning

Evaluating analytic gradients of pulse programs on quantum computers

Quantum Machine Learning

Quantum Chebyshev Transform

Supervised and unsupervised quantum machine learning models for the phase detection of the ANNNI spin model

Post Variational Quantum Neural Networks

Multidimensional regression with a variational quantum circuit