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

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Resource estimation for Hamiltonian simulation with GQSP

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!

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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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Algorithms

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Resource estimation for Hamiltonian simulation with GQSP

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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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