- - How to run big quantum circuits on small quantum computers in PennyLane
- - How to choose your device
- - PennyLane Code Camp wrap-up and highlights
- - PennyLane v0.27 released
- - PennyLane Code Camp — A camp for coding pioneers
- - The quantum internet and variational quantum optimization
- - How to execute quantum circuits in collections and batches
- - How to get Device and Circuit Information
- - How to create your own device in PennyLane
- - PennyLane v0.26 released
- - How to use the Hartree-Fock method in PennyLane
- - Give your feedback on the state of the art in quantum open source with the Unitary Fund Survey
- - Lightning-fast simulations with PennyLane and the NVIDIA cuQuantum SDK
- - How to create your own optimizer
- - How to create and visualize a cluster state in FlamingPy
- - QHack 2022 - the one-of-a-kind celebration of quantum computing
- - PennyLane v0.22 released
- - Why measuring performance is our biggest blind spot in quantum machine learning
- - Error mitigation with Mitiq and PennyLane
- - Quantum computing for quantum chemistry: a brief perspective
- - PennyLane v0.19 released
- - PennyLane Code Together Wrap Up
- - How to write quantum function transforms in PennyLane
- - PennyLane v0.17 released
- - How to perform parameter initialization of PennyLane’s built-in templates
- - How to add custom gates and templates to PennyLane
- - Using PennyLane and Strawberry Fields to run programs on Xanadu hardware
- - How to visualize quantum circuits in PennyLane
- - How to simulate noise with PennyLane
- - How to construct and load Hamiltonians in PennyLane
- - How to parallelize QNode execution
- - Taking stock of quantum machine learning—a critical perspective
- - Contributing to Pennylane with Jack Ceroni
- - QHack QML Challenge Walkthrough: Variational Quantum Eigensolver
- - IonQ’s trapped ion hardware now available via PennyLane
- - PennyLane v0.15 released
- - How to build a model with chained QNodes
- - How to calculate the Hessian of a classical-quantum hybrid model