Ali Asadi

HPC x Quantum Computing

[TSN @TSN_Sports]

The Canadian National Anthem is belted out in Vancouver as the #CanMNT gets ready for kick-off!

#FIFAWorldCup

[Xanadu @XanaduAI]

Check out our latest blog about our new perspective on QML:

https://t.co/hJWrLY5RIs

[Vala Afshar @ValaAfshar]

The person you will be in 5 years depends on:

• books or articles you read
• how much more you write
• money you save and invest
• who you work with
• friends you spend time with
• new skills you develop
• the food you eat
• amount of exercise you do
• how much sleep per day
• asking for help when you’re stuck
• connections you make and keep
• promises you make and keep
• where and how far you travel
• doors you open for others
• knowing when to leave
• new habits you develop
• quitting the stuff that holds you back

[AI at AMD @AIatAMD]

Catch up on the latest in the #AMDevs community below! 🧵

[PennyLane @PennyLaneAI]

35 million gates in under two hours. PennyLane is bridging the gap between quantum algorithms and CFD 💪

Alongside @RollsRoyce and @AMD, we worked to scale up QSVT compilation for aerospace engineering.

🔗👇

[Nikita Bier @nikitabier]

@2irl4u In progress: https://t.co/nf3txQA1VT

Should be live sometime tomorrow on web.

[PennyLane @PennyLaneAI]

PennyLane’s Lightning-GPU simulator device is now integrated with Catalyst!⚡

Use it to enable quantum just-in-time (QJIT) compiled quantum operations to execute on NVIDIA cuQuantum compatible GPUs.

Learn more from our demo🔗👇

[Christian Weedbrook @_cweedbrook]

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 released online today
(https://t.co/DCHMIIHNDl)

It is the very first time anyone has combined all the subsystems necessary to implement universal and fault-tolerant quantum computation in a photonic architecture

[Xanadu @XanaduAI]

No algorithm is purely quantum. Why program like they are?

We're at work re-architecting @pennylaneai to JIT compile the full quantum-classical workflow with Catalyst, bringing richer ways to program quantum computers.

Read our paper in @JOSS_OJ👇

https://t.co/g2PmpKfhxD

[PennyLane @PennyLaneAI]

PennyLane is faster than ever⚡

Our latest paper (https://t.co/R9Sp9zHOUO) demonstrates large-scale simulations on supercomputers and GPUs—up to 41 qubits, & up to 40k circuits, across a variety of problems

Accelerate your research today with PennyLane!

https://t.co/asVXZyTwTc

[Ali Asadi @quthreads]

@cgarciae88 Indeed. Autodidax and 'writing custom JAX interpreters' are my most favorite ones. I've returned to these guides several times and will do so again.

[PennyLane @PennyLaneAI]

Catalyst v0.3 has dropped – the next-generation compilation backend for programming quantum computers.

🤖Native Python control flow with AutoGraph
📉Compiler-based backpropagation
🍎MacOS support

and many other improvements!

https://t.co/fLCR5dcpFR

[PennyLane @PennyLaneAI]

Catalyst v0.2 has dropped – the next-generation compilation backend for programming quantum computers.

🤖Better JAX Integration
⚛️Amazon Braket support
📉New gradient functions

and many other improvements!

https://t.co/UDuTeDAC8Q

1/3

[Catalina Albornoz @quantumcatalina]

It’s been a great to meet our 2023 @XanaduAI residents!

At this week’s bootcamp they’re learning about different aspects of #quantumcomputing.

See the name Catalyst in the screen? Learn about our newest hybrid compilation tool at https://t.co/hGbNSk5uGO

[PennyLane @PennyLaneAI]

We’re giving you a peek behind the curtain at our latest project 👀

Meet Catalyst — the next-generation compilation backend for programming quantum computers.

jax.jit, but quantum.

Be first in the know and read our technical blog👇

https://t.co/RlDVMqu7KM

[Christian Weedbrook @_cweedbrook]

Top 10 most influential (read before you die) quantum computing papers of all time! (chronological order) :)

Note: have only included papers and not conference proceedings, theses, reviews, etc., and only related to quantum computing.

Agree? Disagree? Comments welcomed! 1/n

[Google DeepMind @GoogleDeepMind]

Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: https://t.co/E18DezRPTL & https://t.co/SvHgsa0SNV 1/

[Ali Asadi @quthreads]

The story behind the story of the world’s first public cloud-deployed computer with #quantum computational advantage: https://t.co/mFkbPX3mLF @XanaduAI

[PennyLane @PennyLaneAI]

PennyLane's high-performance embedded circuit simulators `lightning.qubit` and `lightning.gpu` (powered by @nvidia) are now supported by Amazon Braket Hybrid Jobs (@awscloud) ⚡️

https://t.co/jDUvHTYxqS

[PennyLane @PennyLaneAI]

Our high performance simulator now supports GPU acceleration via the new lightning.gpu device ⚡

This new device utilizes the @NVIDIA cuQuantum library, and includes efficient computation of quantum gradients via adjoint differentiation 📉

https://t.co/waQcxyKpgt