PennyLane is an open-source software framework for QML, quantum chemistry, and quantum computing, with the ability to run on all hardware. Built by
@XanaduAI
.
It’s that time of year 🍂
The 2024 QOSS Survey by
@UnitaryFund
has officially launched 📝
Now’s your time to have your say. Let's improve quantum open source together!
Take their Quantum Open Source Software Survey by October 31st👇
Quantum volume? 📦
Quantum logume? 🥜
Algorithmic Qubits? 🎛️
What's all the fuss about?
Check out our latest demo for a hands-on overview of Quantum Volume
👇
Mark your calendars! 🗓️
Sign-ups open for
#QHack2022
on January 5th 2022 at 12 PM (noon) EST
The first 100 participants to sign up will receive a slammin' swag package
Sign-ups are open for
#QHack2022
🎉
The first 100 participants to sign up will receive a swag package 🎁
Looking forward to celebrating quantum with you this February!
Sign up here 👇
Dig into many ideas in quantum computing (quantum volume 📦, random circuits 🎲, barren plateaus 🏜️) and you'll likely encounter daunting phrases like "Haar measure" or "Haar random" 🤔
Really, it's not so haard!
Learn all about it in our newest demo
PennyLane has an official logo 🎉
The hand-drawn style is here to stay, but now we have a logo that balances our classic wordmark with a quantum-inspired design.
Shallow quantum circuits are provably powerful, yet training them can be difficult.
@RobertHuangHY
et al overcome this obstacle with a powerful new tool, circuit sewing with local inversions.
If you don’t have time to read 88 pages,
@Qottmann
showcases these techniques in our
Quantum advantage demonstrated using photonics! Exciting news and amazing work by
@chaoyanglu
and team.
Curious to explore Gaussian Boson Sampling, the quantum algorithm they performed? We’ve got you covered in our latest tutorial 👇
VQE is the OG variational quantum algorithm—but the number of measurements required can scale rapidly!
In our latest demo, check out how algorithms such as graph colouring 🎨 can help us massively reduce the number of measurements needed on hardware 👇
You might have heard of
@TensorFlow
Quantum this week.
What's it all about?
At
@pennylaneai
, we've been developing QML software and algorithms for a couple years now. Since there is now growing interest, we want give a VIP guided tour of the current landscape of QML. [THREAD]
now has over 2500 registrants 🤯, and swag is on its way to 100 lucky early birds👕
Thank you everyone for your support! It's going to be an amazing event and we're so excited for you to join us 👩💻 👨💻 that we made this 👇 poster, just for you 😉
Version 0.8 of has dropped!
- New quantum chemistry package
- Make native
@Rigetti
pyQuil code compatible with
@TensorFlow
or
@PyTorch
- Parallelize collections of quantum circuits and run asynchronously
- New circuit visualizer
PennyLane is officially 5️⃣ ! 🎂
Time flies when you're having fun. Thanks for your support and contributions over the years; we are proud of what we've all accomplished together and are excited for what's to come.
Have you tried JAX?
PennyLane+JAX unlocks quantum software superpowers with simple one-line transforms 🦾
Use jit to compile & speed up your circuits 🐌🚀
Use vmap to parallelize your circuits 🔀
Learn more in our newest demo! 👇
Big news from
@IBMResearch
: running useful quantum algorithms on 127 noisy qubits
How did they do this without noise raining on the parade? 🌧️
How close are we to tackling truly important problems? 🎯
Get all the details in this demo from
@Qottmann
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
@RobertHuangHY
and co-authors.
Check it out here 👇
What are these particles that let you see without letting you see them? 🤔
Answer: Photons!
Our latest demo is a go-to guide for photonic
#quantumcomputing
✴️
Check it out👇
#QHack2022
Prize Announcement 📣
3 paid internships at CERN are up for grabs this year 🤩
To be eligible for an internship, pre-register below by Jan 31st 6AM EST👇
More prize announcements to come!
Sign up today at
Two years ago today we released the first version of PennyLane 🐣
In that time, we’ve gone from v0.1 to v0.12.
From two supported devices to 17.
From five contributors to 34.
2000 posts on our help forum.
❤️ Thanks to our community for making the past two years successful!
We're kicking off a new video series covering the basics of quantum machine learning!
In this first video, PennyLane lead developer Nathan Killoran shares some insights on the connections between
#DeepLearning
and
#QuantumComputing
.
More to come soon 😉
"To light a quantum candle is to cast a classical shadow"
-- Ursula K. Le Guin, probably
Check out our newest demo, and learn all about the idea of classical shadows 💡⚛️🌒
Based on the paper by
@RobertHuangHY
, Richard Kueng, &
@preskill
Awesome new paper on a "stochastic parameter-shift rule" for computing gradients in QML. Works for arbitrary qubit unitaries!
Congrats to Leonardo Banchi
@UNI_FIRENZE
&
@gavincrooks
@Theteamatx
Paper:
Tutorial:
QAOA is one of the crispiest near-term quantum algorithms - and our newest QAOA tutorial (by the inimitable
@jack_ceroni
) is hot off the press 🔥📰
Check it out below, and learn to code a complete QAOA workflow to solve the minimum vertex cover problem
Gate-based quantum computing is the most widespread programming model, but did you know that it's not the only one? 👀
Joost Bus and Radoica Draškić explain the measurement-based quantum computing (MBQC) framework and why it is a powerful approach 👇
PennyLane version 0.16 is out in the wild! 🍃
We’ve got a great number of new modules and features such as:
- Quantum kernels 🌽
- Resource information 🐑🪵🧱🌾🪨
- Fourier visualizations 🌀
- Pauli group 🅇🅈🅉
- QAOA cycle module 🔄
- Always more quantum operations ⚛️
Do you work on variational quantum algorithms or quantum machine learning?
If so, please check our latest article:
Here, we ask: Are barren plateau-free models classically simulable? Should we rethink variational QC as a whole?
LONG 🧵 below
1/n
Quantum neural networks come in many flavours! 🍦
This week we show how to build a “quantum optical neural network” which uniquely uses the discrete quantum nature of photons.
.
@honeywell
's quantum computer is now available, and you can access it from PennyLane 🎉
1. Get access:
2. Install the open-source plugin:
3. Enjoy!🍯🍯
This joins our ever-growing device ecosystem:
Variational quantum algorithms are at the core of QML.
VQE, QAOA, Quantum Classifiers, Quantum GANs, Quantum Neural Networks, and more.
Learn the ins and outs of how to build 👷♀️and train 🧑🏫them in our newest video
PennyLane v0.18 is out of the oven! ♨️🔥
Piping hot features like
-Major updates to lightning.qubit ⚡
-
@PyTorch
quantum simulator 🔦
-Superpowered Hamiltonians 💪
-Beefed-up Rotosolve optimizer 🌪️
-Custom batch & gradient transforms 🍪
And much more!
Thanks to
@lanabozanic
@maggie_1i
@sukin_sim
for their awesome tutorial contribution to the QML gallery! Encourage everyone to check it out.
Accelerating VQEs with quantum natural gradient
How do we measure performance in QML? 🤔
What are the right figures of merit for QML? 💭
Maria Schuld explores these questions and more in the latest PennyLane Blog "Why measuring performance is our biggest blind spot in quantum machine learning"
The moment you’ve been waiting for is here: PennyLane v0.15 has shipped! 🚢🍾
- Flexible shot control 🔫
- Shot-adaptive optimization 📉
- Higher-order gradients 🌐
- Moar differentiable transforms 🤖
- Application-focused operations 🩺
- New
@IonQ_Inc
plugin ⚛️
What happens when you view QML from the lens of classical kernel methods? 🕵️♀️🌽
Our latest hands-on demo digs into the details:
Based on the paper "Quantum machine learning models are kernel methods" by Maria Schuld ()
Our quantum machine learning website has just received a new coat of paint 🎨💅
It is now even easier to navigate and browse our QML key concept, tutorials, and our collection of cutting-edge research demos.
Quantum machine learning circuits have strong connections to Fourier series. This is very important to understanding what functions your model can express!
@rndm_wlks
@jj_xyz
Explore more in our latest fully-coded example:
📢 The winners of the QHack Open Hackathon have been decided! 📢
Top three spots on the podium go to:
3. Many body system
2. Entangled_Nets
1. Notorious FUB
🙌 Congrats to the top teams, and thanks to all teams for their great projects! 👩💻 👨💻
#QHack2022
Event Announcement 📣
The original QHack Meme Contest is back 😎
Submit your best quantum-themed memes via Twitter using
#QHack2022
and tagging
@pennylaneai
The top three LOLs will win exclusive swag 🎁
Excited to release our white paper 📜 on differentiable quantum computational chemistry! ⚛️🧪
It provides the theoretical 🧠 foundation for all quantum chemistry functionality in PennyLane. The result of many months of work by an amazing team! 🎉
#QHack2023
prize announcement 📣
Enter the NVIDIA Challenge (
@NVIDIADC
) in the QHack Open Hackathon for your chance to win
🥇 4090 GPUs
🥈 3090 GPUs
🥉 3080 GPUs
Sign up today at
To celebrate PennyLane's 5th birthday, we've got a very special gift 🎁
Introducing Gatemojis!
Finally, a way to express your innermost feelings in the form of quantum circuits 😌
Download here 👇 and add to your favourite Slack/Discord servers:
#QHack2022
Prize Announcement 📣
Enter the Quantum Finance Challenge in the QHack Open Hackathon for your chance to win:
MacBook Pro 🌟
iPad Pro 🌟
Oculus VR Headset 🌟
Sponsored by
@agnostiqHQ
&
@multiverseqc
Sign up at
.
@pasqalio
is making quantum computers using atomic arrays. You can start exploring this unique platform using the latest version of
@GoogleAI
’s Cirq.
We tried it and made a fun little QML demo featuring a very famous French landmark 🇫🇷🗼
Learning
#quantum
#machinelearning
can sound hard, but that's about to change with this how-to guide! 🤩
Explore concepts from optimization,
#quantumcomputing
and machine learning, and check out the code example that will help you build future programs 💥
Registration is officially open for
#QHack2023
!
Sign up at 👉 👈
PS: If you sign up before December 12th at 5 PM ET, you'll be entered into a draw to win one of 15 epic QHack 2023 swag packs — each featuring AirPods 👀
Tweet your best QML-themed memes with the hashtag
#QHack2021
for a chance to win exclusive swag 🎁. Winning entries will be selected live at this year's Feb. 17th–26th 👇
All good things must come to an end!😭
Watch highlights from today's
#QHack2021
events below🗣️
If you missed out this week, don't panic! We will be posting all talks to YouTube shortly:
🥁 Are you ready for it? 🥁
The PennyLane
#QuantumCarnival
is coming in November! 🎡
We're having a month-long celebration of PennyLane's 3rd birthday 🎂
Be ready to join the party, learn a lot, and win swag in the process 😎
Follow us on Twitter so you don't miss a thing!
Last year
@GoogleAI
showed quantum hardware doing a task that was out of reach for classical computers.
They also developed a powerful classical simulator "qsim." Even without a supercomputer, you can now access qsim on your laptop with Pennylane+Cirq!
Symmetry is everywhere 👆👆👇👇👈 👉 👈 👉
In both classical and quantum ML, we can train better models by exploiting symmetry.
How do we actually do this?
And what is this "Geometric QML" you keep hearing about?
Learn more here:
Two years ago we began the interactive paper "The Physics of Energy-Based Models" with
@PHuembeli
@ixfoduap
@masoud_mohseni
Nathan Killoran and our late friend Peter Wittek.
After 1+ year in peer-review purgatory, we are happy to release it to the world
1/ There have been some amazing QML papers coming out of
@LosAlamosNatLab
the past few months! Today we highlight the variational linear quantum solver. Download the demo, change the device, and submit it to quantum hardware with
@qiskit
and
@rigetti
.
Why are quantum computers the ultimate simulators?
How can they help us do
#quantum
#chemistry
? 👩🔬
What are some of their limitations?
Read our blog post about quantum algorithms and quantum chemistry and get a new perspective on VQE, QPE and more.
Want to win exclusive
#QHack2022
tie-dye swag?
Receive direct updates from us about QHack featuring:
- Ways to win exclusive swag
- QHack prep tips
- Opportunities to learn more and connect with QHack's amazing sponsors
Sign up today at
#unitaryHACK
from
@unitaryfund
kicks off in just 12 hours! ⏰
Earn swag and bounties by contributing to the quantum open-source community 💰🧦🧑💻
We're curated a list of all eligible PennyLane issues here:
It's gonna be a blast!
We've got a great new community demo by Felipe Oyarce Andrade.
Done as part of the
@qosfoundation
Mentorship Program, it codes up the paper "Layerwise learning for quantum neural networks" by Skolik et al.
Check it out! 🙌
Have an idea for a new quantum algorithm💡? Curious if it will work in the presence of noise 😱?
Our latest demo shows not just how to simulate noisy circuits, but also compute gradients of noisy channels 📉
Join us as we put the N in NISQ 👇
#QHack2021
begins in less than 10 days ⌚👀
We've added a more detailed schedule and released some new info on the hackathon format.👇
Amazing prizes and power-ups available courtesy of our sponsors
@awscloud
Braket and
@CERN
PennyLane v0.12 has arrived! 🤩
- New mixed-state simulator
- Minimize the number of measurement settings for HW
- Access the state vector from circuits
- Quantum noisy channels
- Preview the next-generation QNode
And more!
Looking for a hands-on introduction to Quantum Machine Learning?
We're excited to be taking part in
@IEEEQuantumWeek
this year! We'll be offering a full-day tutorial on QML, hosted by PennyLane lead devs
@3rdquantization
and Nathan Killoran.
Thank you to the attendees, speakers, and sponsors who made
#QHack2022
unforgettable — we are proud to be part of this amazing community 🤩
Judging of the final Open Hackathon Submissions is now underway and we will announce the winners as soon as possible. Watch this space 👀
#QHack2022
Speaker 🎤
Join Kosuke Mitarai (
@kosuke_mitarai
) for a talk on:
"NISQ algorithms for chemistry and machine learning"
Wednesday Feb 16 at 10:00 AM EST
#QHack2022
Open Hackathon Winners Announced 📣
After reviewing all of the amazing submissions — the final results are in 🏆 👇
Congratulations to the winning teams!
Thank you to all who submitted projects and to our sponsors for the incredible prizes
Excited to announce that PennyLane is now available for use on
#AWS
#Braket
!
#Q2B20
Thanks to our new partners
@awscloud
for sharing our vision of Quantum Machine Learning and Quantum Computing
Learn how to hatch quantum states using feedback with 🦅 FALQON 🦅
Based on the awesome paper "Feedback-based quantum optimization" by Alicia Magann,
@KRudinger
,
@mgrace_sandia
,
@mohansarovar
.
@XanaduAI
launching a summer internship program next year; kicks off with a QML bootcamp! 🥾🏕️
Great opportunity for top graduate and undergraduate students to tackle cutting-edge projects, including working on the
@pennylaneai
team
What is Quantum Machine Learning?
is always being updated with new content and materials to help you get familiar with QML
There are now 24(!) QML code demos using
@qiskit
@rigetti
@pytorch
@tensorflow
#Cirq
👩💻
We've also added a bunch of QML videos 📽️
#QHack2022
Prize Announcement 📣
Enter the Quantum Chemistry Challenge in the QHack Open Hackathon for your chance to win:
A
@QunaSys_en
internship in Tokyo! 🌟
Your choice of a Nintendo Switch or Sony Wireless Headphones 🌟
Sign up today at
PennyLane v0.11 is here! 🥳
- New C++-based simulator
- Easily construct and solve QAOA optimization problems
- Backpropagate inside simulations using default.qubit.autograd
- Official support for the Qulacs simulator
- Custom wire labels
And more!
Day 1 of
#QHACK
has come to an end, and some exciting quantum machine learning projects are taking shape! Time to catch some 😴 before another round of hacking tomorrow
@XanaduAI