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
Devices and Performance
FTQC
Getting Started
How-to
Optimization
Quantum Chemistry
Quantum Computing
Quantum Hardware
Quantum Machine Learning
Resource Estimation

New demos

  • Quantum Computing
  • Quantum Hardware
  • Algorithms
  • FTQC

Quantum low-density parity-check (qLDPC) codes for quantum error correction

  • Resource Estimation
  • Algorithms
  • Quantum Chemistry
  • Optimization

Resource estimation for X-ray absorption and photodynamic therapy

  • Algorithms
  • Quantum Chemistry
  • Resource Estimation

Quantifying resource requirements for vibronic dynamics simulation

  • FTQC
  • Quantum Computing

Achieving Universality with the Clifford Hierarchy

  • Quantum Computing
  • Compilation
  • Algorithms
  • FTQC

Understanding the Fault-tolerant Threshold Theorem in Practice

  • Quantum Computing
  • Quantum Hardware
  • Algorithms
  • FTQC

Quantum low-density parity-check (qLDPC) codes for quantum error correction

  • Resource Estimation
  • Algorithms
  • Quantum Chemistry
  • Optimization

Resource estimation for X-ray absorption and photodynamic therapy

  • Algorithms
  • Quantum Chemistry
  • Resource Estimation

Quantifying resource requirements for vibronic dynamics simulation

  • FTQC
  • Quantum Computing

Achieving Universality with the Clifford Hierarchy

  • Quantum Computing
  • Compilation
  • Algorithms
  • FTQC

Understanding the Fault-tolerant Threshold Theorem in Practice

  • Quantum Computing
  • Quantum Hardware
  • Algorithms
  • FTQC

Quantum low-density parity-check (qLDPC) codes for quantum error correction

  • Resource Estimation
  • Algorithms
  • Quantum Chemistry
  • Optimization

Resource estimation for X-ray absorption and photodynamic therapy

  • Algorithms
  • Quantum Chemistry
  • Resource Estimation

Quantifying resource requirements for vibronic dynamics simulation

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 (24)

How to estimate the resource requirements of quantum algorithms

How to use Catalyst with Lightning-GPU

How to build spin Hamiltonians

How to use noise models in PennyLane

Introducing matrix product states for quantum practitioners

How to use wire registers

Your guide to PennyLane if you know Qiskit

Introduction to mid-circuit measurements

How to create dynamic circuits with mid-circuit measurements

How to collect statistics of mid-circuit measurements

See all (24)

Algorithms

See all (55)

Understanding the Fault-tolerant Threshold Theorem in Practice

Quantum low-density parity-check (qLDPC) codes for quantum error correction

Resource estimation for X-ray absorption and photodynamic therapy

Quantifying resource requirements for vibronic dynamics simulation

Optimising QSVT data loading by exploiting structure

How to estimate the resource cost of QSVT

Resource estimation for Hamiltonian simulation with GQSP

Qubit and gate trade-offs in qubitized Quantum Phase Estimation

How to estimate the resource requirements of quantum algorithms

Decoded Quantum Interferometry

See all (55)

Compilation

See all (16)

Understanding the Fault-tolerant Threshold Theorem in Practice

Active volume

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

Unitary synthesis with recursive KAK decompositions

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

How to use Catalyst with Lightning-GPU

The KAK decomposition

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

QJIT compilation with Qrack and Catalyst

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

See all (16)

Devices and Performance

See all (20)

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

QJIT compilation with Qrack and Catalyst

How to simulate quantum circuits with tensor networks using DefaultTensor

Efficient Simulation of Clifford Circuits

Getting started with the Amazon Braket Hybrid Jobs

Using PennyLane with IBM's quantum devices and Qiskit

Compilation of quantum circuits

See all (20)

FTQC

See all (3)

Achieving Universality with the Clifford Hierarchy

Understanding the Fault-tolerant Threshold Theorem in Practice

Quantum low-density parity-check (qLDPC) codes for quantum error correction

See all (3)

How-to

See all (24)

How to estimate the resource requirements of quantum algorithms

Density Matrix Embedding Theory

Quantum Defect Embedding Theory

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

How to import noise models from Qiskit

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

How to use quantum arithmetic operators

See all (24)

Optimization

See all (42)

Resource estimation for X-ray absorption and photodynamic therapy

Optimising QSVT data loading by exploiting structure

Resource estimation for Hamiltonian simulation with GQSP

Qubit and gate trade-offs in qubitized Quantum Phase Estimation

Seeing quantum phase transitions with quantum computers

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

Quadratic Unconstrained Binary Optimization

See all (42)

Quantum Chemistry

See all (30)

Resource estimation for X-ray absorption and photodynamic therapy

Quantifying resource requirements for vibronic dynamics simulation

Resource estimation for Hamiltonian simulation with GQSP

Qubit and gate trade-offs in qubitized Quantum Phase Estimation

Quantum Defect Embedding Theory

Density Matrix Embedding Theory

X-ray Absorption Spectroscopy Simulation in the Time-Domain

How to build compressed double-factorized Hamiltonians

How to use Catalyst with Lightning-GPU

Generative quantum eigensolver training using PennyLane data

See all (30)

Quantum Computing

See all (84)

Achieving Universality with the Clifford Hierarchy

Understanding the Fault-tolerant Threshold Theorem in Practice

Quantum low-density parity-check (qLDPC) codes for quantum error correction

What are magic states?

Active volume

Introducing lattice surgery

Resourcefulness of quantum states with Fourier analysis

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

See all (84)

Quantum Hardware

See all (18)

Quantum low-density parity-check (qLDPC) codes for quantum error correction

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

Optimal control for gate compilation

Is quantum computing useful before fault tolerance?

Neutral-atom quantum computers

Pulse programming on Rydberg atom hardware

Differentiable pulse programming with qubits in PennyLane

See all (18)

Quantum Machine Learning

See all (51)

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

Loading classical data with low-depth circuits

Generative quantum advantage for classical and quantum problems

Seeing quantum phase transitions with quantum computers

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

Generative quantum eigensolver training using PennyLane data

Adversarial attacks and robustness for quantum machine learning

See all (51)

Resource Estimation

See all (10)

Resource estimation for X-ray absorption and photodynamic therapy

Quantifying resource requirements for vibronic dynamics simulation

Optimising QSVT data loading by exploiting structure

How to estimate the resource cost of QSVT

Resource estimation for Hamiltonian simulation with GQSP

Qubit and gate trade-offs in qubitized Quantum Phase Estimation

How to estimate the resource requirements of quantum algorithms

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

Resource estimation for quantum chemistry

QAOA for MaxCut

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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