PennyLaneAI
Pinned repositories
Repositories
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pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
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qml
Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
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pennylane-lightning
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ using Eigen, for use with PennyLane
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pennylane-cirq
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
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benchmark
Benchmarks the PennyLane library using airspeed velocity.
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pennylane-qiskit
The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane's quantum machine learning capabilities.
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pennylane.ai
The website for PennyLane
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pennylane-qulacs
The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
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pennylane-forest
This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
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pennylane-sf
The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.
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plugin-test-matrix
Scheduled integration tests for the official plugins
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pennylane-pq
Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.
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pennylane-honeywell
The PennyLane-Honeywell plugin integrates Honeywell Quantum Solutions' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.
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PennyLane-qsharp
This plugin allows the full state simulator from the Microsoft Quantum Development Toolkit devices to work with PennyLane.
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pennylane-aqt
The PennyLane-AQT plugin integrates Alpine Quantum Technologies' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.
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sphinx-action
Forked from josh146/sphinx-actionGithub action that builds docs using sphinx and places errors inline
