Author: PennyLane team

PennyLane v0.18 released


Category: release | Author: PennyLane team
PennyLane v0.18 is out, with an included high-performance simulator, backpropagation with PyTorch, improved quantum-aware optimizers, the ability to define custom quantum gradients, and much more.

PennyLane Code Together Wrap Up


Category: code together | Author: PennyLane Team
Wrapping up PennyLane: Code Together 🙌🙌 What a tight race it was! The contributors to Code Together were so excited about solving the issues that they raced head-to-head to the finish line to be the first to get their pull request merged. Some even managed to solve several issues. Something else …

PennyLane v0.17 released


Category: release | Author: PennyLane team
We’re excited to announce PennyLane v0.17. It’s more powerful than ever with support for circuit compilation routines, gradient transforms, Docker containerization, along with many new and improved templates, optimizers, and quality-of-life updates.

PennyLane Community Calls


Category: community calls | Author: PennyLane Team
Want to get involved with quantum open-source software, but don’t know how to begin? Good news: the PennyLane team will now be offering a regular series of community calls to help you on your journey. Each week, join the PennyLane dev team, along with our growing network of contributors …

PennyLane Code Together


Category: code together | Author: PennyLane Team
Announcing PennyLane: Code Together 🙌🙌 This is your chance to join the quantum software community, supercharge your coding skills, interact with the PennyLane team, and—most importantly—win some awesome swag! Join us on GitHub August 16th-27th. Participation is simple: be the first to solve an open issue with the label …

PennyLane v0.16 released


Category: release | Author: PennyLane team
We’re excited to announce PennyLane v0.16. This release comes with many new modules, features, and improvements. Some highlights are the new Fourier and kernels modules, resource estimation, new transforms, and new operations.

Taking stock of quantum machine learning—a critical perspective


Category: videos | Author: PennyLane Team
PennyLane’s very own Maria Schuld recently gave a talk at the inaugural QML Meetup, summarizing some critical quantum machine learning insights. Check out the video below to learn why variational quantum models have a scaling problem, why the way we encode data must become more than an incidental choice …

Contributing to Pennylane with Jack Ceroni


Category: videos | Author: PennyLane Team
Interested in hearing more about what it’s like to develop PennyLane? On the latest Quantum Computing Now podcast, Ethan Hansen sits down with PennyLane developer Jack Ceroni to hear about his experiences getting started with quantum, how he got into quantum software development, and answer the question “what in …

IonQ’s trapped ion hardware now available via PennyLane


Category: plugins | Author: PennyLane Team
We are excited to announce that PennyLane now natively supports quantum computing devices provided by IonQ! 🎉🍾 IonQ is the leading provider of quantum computers based on trapped ions. With long coherence times and all-to-all connectivity, trapped ions make a great hardware substrate for testing complex quantum computing algorithms, like those …

PennyLane v0.15 released


Category: release | Author: PennyLane team
We’re excited to announce PennyLane v0.15, which comes with many new and exciting features. These include a new hardware device integration, more flexible shot control, brand new operations, and new methods for working with more powerful quantum circuits.

QHack—the quantum machine learning hackathon


Category: qhack | Author: PennyLane Team
Part hackathon, part fan expo, part scientific conference, QHack offered a new kind of experience in the quantum space. Like all the best events, it had a teaser trailer, a vintage poster, its own theme music (imagine Daft Punk remixed the Knight Rider intro music), and a top-notch swag game …