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
Quantum Computing

New demos

  • Quantum Computing

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

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!

The hidden cut problem for locating unentanglement

Quantum Chebyshev Transform

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

Unitary synthesis with recursive KAK decompositions

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

Fast optimization of instantaneous quantum polynomial circuits

Fixed depth Hamiltonian simulation via Cartan decomposition

Constant-depth preparation of matrix product states with dynamic circuits

Post Variational Quantum Neural Networks

Introducing matrix product states for quantum practitioners

See all (57)

Quantum Computing

See all (1)

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

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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