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
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Quantum Chemistry

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  • Quantum Chemistry

X-ray Absorption Spectroscopy Simulation in the Time-Domain

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!

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

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

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Algorithms

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X-ray Absorption Spectroscopy Simulation in the Time-Domain

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Quantum Chemistry

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X-ray Absorption Spectroscopy Simulation in the Time-Domain

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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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