Borja Requena

PhD in Quantum Physics and Artificial Intelligence @ ICFO

[Borja Requena @BorjaRequena]

Glad to share STEP🔥 our latest work studying #Diffusion with #MachineLearning!
🔗https://t.co/wo0pgb0Rvy

In collaboration with my beloved @gorka_mgm, Maciej Lewenstein, and our amazing experimental buddies🔬 Sergi Masó, Joan Bertran and @carlomanzo78

(mini)trhead👇1/🧵

[Borja Requena @BorjaRequena]

@danielgc25 Woooo 🎉

[Johannes Brandstetter @jo_brandstetter]

We introduce Geometry-Informed Neural Networks to train shape generative models
without any data (!!), combining learning under constraints, neural fields as a suitable representation, and generating diverse solutions to under-determined problems:
🖥️: https://t.co/qRbJ9SXuc0

[Oriel Kiss @oriel_kiss]

During my time at @XanaduAI, we thought about how to optimize and adapt ⏰ early FTQC algorithms for practical impact 🔥. Turns out that, for the price of only a tiny bit of precision, you can get really cheap ⚛️ algorithms!

👉 https://t.co/GQ4DFGKWh6

[Borja Requena @BorjaRequena]

@oriel_kiss @_whatsis @ixfoduap It was my pleasure to participate in this project!!🔥 Thank you all for the outstanding work ❤️

[Xanadu @XanaduAI]

How useful are early fault-tolerant quantum algorithms in practice? 🕵️

Our new work presents a SOTA setup of Lin-Tong (LT) type algorithms as a viable alternative to QPE for ground-state energy estimation in resource-limited scenarios!

https://t.co/RS5gkGbc06

🧵 1/8

[Borja Requena @BorjaRequena]

Ever wondered what is reinforcement learning? Curious about how quantum computers actually work?🤔

We got you! In this demo, we show the basics of reinforcement learning with a practical application to quantum computing!🔥 All implemented from scratch with jax and @PennyLaneAI🚀

[PennyLane @PennyLaneAI]

The quantum industry’s secret to squeezing the most performance from noisy hardware? Reinforcement learning🤫🤖

Building on his @XanaduAI residency project, @BorjaRequena demonstrates the benefits of calibrating quantum gates with reinforcement learning👇
https://t.co/pCf6QELZek

[ANDI Challenge @AndiChallenge]

Yujuuu! We just passed the 50 participants barrier! 🥳🥳

And already some battle going on in the leaderboard! ⚔️

While some teams are being shy, we have many submissions behind the scenes 🤫😉

Don't miss the AnDi2 adventure 🚀: https://t.co/VPW44AsyHn

[ANDI Challenge @AndiChallenge]

Do you have any person in mind that could kill it in the #AnDichallenge?🏆

No matter if they are
- Diffusion practitioners
- ML developers
- Microscopy experimentalists
- ???

Tag them in this post and give them a chance to enter the battle! More info: https://t.co/VPW44AsyHn

[Borja Requena @BorjaRequena]

@AndiChallenge I'd love to meet again on the charts some of the strongest contenders from the last edition, like @ale_gentili_ or @BosseStefansson. Although I'd also keep an eye for new talent @Gabriel_Fdez2🔥

[Oriel Kiss @oriel_kiss]

I didn't have the opportunity to do a demo during my residency, so i just made up for it 😎

Starting from my very first paper https://t.co/YttE11HLYF, we included symmetries, improving the training and generalisation by an order of magnitude!
👉 https://t.co/r4ThiRbmKM

[Borja Requena @BorjaRequena]

@ArguJavier @la_UPC Congrats!! 🔥🔥

[Borja Requena @BorjaRequena]

@giulia_derosi @la_UPC @ETSABarcelona Congratulations!! 🎉🎉

[Borja Requena @BorjaRequena]

@Trinidad_Gar Sii, claro, cuando quieras!

[Borja Requena @BorjaRequena]

Woooo!! Let's gooo 🎉

The second #AnDiChallenge looking exciting raising some interesting questions. Can't wait to start the competition🔥

[ANDI Challenge @AndiChallenge]

Exciting news! 🌟 The #AnDiChallenge strikes back with its second edition!

Get ready to dive into the fascinating world of diffusion with new twists and challenges. 🧪🔬 #AnomalousDiffusion #ScienceChallenge

All details: https://t.co/f5t5Pi03vb

[Biophysical Journal @BiophysJ]

#OPENACCESS: Inferring pointwise diffusion properties of single trajectories with deep learning. Borja Requena, Sergi Masó-Orriols, Joan Bertran, Maciej Lewenstein, Carlo Manzo, and Gorka Muñoz-Gil. https://t.co/0HTN006uSp

[Borja Requena @BorjaRequena]

Glad to see STEP published in @BiophysJ!! 🚀

In the latest version, we also look at information theory bounds to understand how our #MachineLearning models relate to optimal estimators🔥
🔗https://t.co/uYDSZ7uUSu

[Borja Requena @BorjaRequena]

Glad to share STEP🔥 our latest work studying #Diffusion with #MachineLearning!
🔗https://t.co/wo0pgb0Rvy

In collaboration with my beloved @gorka_mgm, Maciej Lewenstein, and our amazing experimental buddies🔬 Sergi Masó, Joan Bertran and @carlomanzo78

(mini)trhead👇1/🧵

[Ania Dawid @MolecularRobot]

[beware, Tweet contains paper placement]
When you think of molecular energy levels and decay channels, what do you see? How about a graph, instead? If you change the representation, suddenly an automated search for laser cooling schemes becomes a breeze!
https://t.co/NmwESEsRUe

[Borja Requena @BorjaRequena]

Super cool work about quantum circuit synthesis with diffusion models🔥

[PennyLane @PennyLaneAI]

A summer stay at the home of PennyLane 🏝️

Get a behind-the-scenes look at the 2023 @XanaduAI Residency Program. Hear directly from the residents about the program, their work and even what went down at a battle-of-the-tech-companies dragon boat race 🐉

https://t.co/IlIAuYdFD0