New quantum machine learning researcher position open at Xanadu secure.collage.co/jobs/xanadu/29…

How useful is access to quantum memory for quantum machine learning? 🧠 Find out in our latest demo, based on the paper "Quantum advantage in learning from experiments" from Hsin-Yuan (Robert) Huang and co-authors. Check it out here 👇 pennylane.ai/qml/demos/tuto…

🔦 You have a flashlight and an object. Can you predict the object's shape without looking at it? Answer: look at its shadow! 🕳️ Learn how to combine classical shadows with machine learning to predict the properties of quantum many-body problems 👇 pennylane.ai/qml/demos/tuto…

Thrilled to announce that Xanadu has achieved quantum computational advantage using our quantum computer, Borealis! Published in nature, this is a pivotal step in our mission to build quantum computers that are useful and available to people everywhere. newswire.ca/news-releases/…

¿Sabéis cuál fue el primer algoritmo cuántico que demostró ventaja exponencial sobre un ordenador clásico? 🚀 En el video de hoy os cuento todo sobre este algoritmo y el problema que resuelve 😄 youtu.be/swzlvZxk5Q4 #computacioncuantica #quantumcomputing

2023 is already shaping up to be great 🎨🔴🔶🔵 Mark your calendars! Starting February 13th, we're back with #QHack2023 — the one-of-a-kind celebration of quantum computing 🤩 Save the date and see you there 👇 qhack.ai

What is quantum machine learning useful for? In their latest work, Joseph Bowles, Victoria Wright, Máté Farkas, Nathan Killoran and Maria Schuld look to the phenomenon of contextuality for answers to this question. arxiv.org/abs/2302.01365 👇🧵1/11

Our work finally got published! We show how through broadcasting one can device independently certify almost the whole range of entanglement of the 2-qubit Werner state, amongst other results. Marco Túlio Quintino Joseph Bowles Flavien Hirsch 🐘 SciPost Physics @[email protected] scipost.org/SciPostPhysCor…

How can ideas from quantum foundations help us design useful quantum models? 🤔 Joseph Bowles from Xanadu examines this in a talk on the paper "Contextuality and inductive bias in quantum machine learning" (arxiv.org/abs/2302.01365) Check it out 👇 youtube.com/watch?v=Agr0Jv…

New preprint out today!

🎶 All you need is spin!⚛ Xanadu Quantum machine learning team members Richard East, Guillermo Alonso-Linaje (Ket.G) and Chae-Yeun Park (Chae-Yeun Park) introduce theory-backed, user-friendly, variational circuit gates for SU(2). arxiv.org/abs/2309.07250 🧵 1/15

Over the next days, I will post a few seminar talks that have been held in the last weeks and months that have not been uploaded yet. I start with David Wierichs' (Xanadu) talk on backpropagation scaling in parametrized quantum circuits. youtube.com/watch?v=llFAF2…

Guess who's back, back again? QHack's back, tell a friend 😎 THE quantum hackathon returns Feb 8-22! Level up your skills and build your network — for free. Save the date ➡️ qhack.ai/?utm_source=tw… Get ready with the PennyLane Challenges ➡️ pennylane.ai/challenges/?ut… #qhack2024

How well does QML actually work? Let’s put it to the test! Our new paper is a work of love, sweat and compute to bring to you a systematic benchmark study that assesses the performance of prominent quantum models for classification. arxiv.org/abs/2403.07059 1/8

quant-ph preprints submitted to @arXiv right at 2:00 PM Eastern typically get more citations. Almost twice the average if they're the first submission after 2:00. And this is not just correlation - the submission time _causes_ more citations! Analysis: peterse.github.io/2024/04/02/Sur…

If quantum systems naturally settle into their ground state out in the wild, then why shouldn’t they be able to do the same on a quantum computer? 🔍 In our latest work, we argue they can (and provide an algorithm to do so!) arxiv.org/abs/2404.05810 🧵1/8

Tired of slow circuit optimizations? If your circuit is an instantaneous quantum polynomial (IQP) circuit you can now optimize them at lightning speed on your laptop! Made possible by a new python package called IQPopt created by Joseph Bowles & Erik Recio Armengol🔗👇 🧵1/10

A big new quantum hardware announcement today from the awesome @XanaduAi team! 1. Introducing our new quantum computer called Aurora! This is the first time a quantum computer has been built that is modular, networked and truly scalable Aurora is peer reviewed in @nature and

Will quantum machine learning scale to high-dimensional datasets?🤔 Erik Recio Armengol, Shahnawaz Ahmed and Joseph Bowles (Joseph Bowles) show how to train large generative quantum machine learning models with up to a thousand qubits in this work. 🔗👇 🧵1/9