Borja Requena

159 posts

Borja Requena

Borja Requena

@BorjaRequena

PhD in Quantum Physics and Artificial Intelligence @ ICFO

Katılım Eylül 2020
263 Takip Edilen285 Takipçiler
Daniel González
Daniel González@danielgc25·
I just got a Ramon y Cajal fellowship, named after this handsome guy, who gave up a promising career as a body builder but ended up getting a Nobel prize. Anybody that has spent 5 minutes with me in the last 15 years probably knows that this is a life's dream coming true. 🙃🙃
Daniel González tweet mediaDaniel González tweet media
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Johannes Brandstetter
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: 🖥️: arturs-berzins.github.io/GINN/
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Oriel Kiss
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! 👉 arxiv.org/abs/2405.03754
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! arxiv.org/abs/2405.03754 🧵 1/8

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Xanadu
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! arxiv.org/abs/2405.03754 🧵 1/8
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Borja Requena
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👇 pennylane.ai/qml/demos/tuto…

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ANDI Challenge
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 🚀: codalab.lisn.upsaclay.fr/competitions/1…
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Oriel Kiss
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 iopscience.iop.org/article/10.108…, we included symmetries, improving the training and generalisation by an order of magnitude! 👉 arxiv.org/abs/2311.11362
PennyLane@PennyLaneAI

Symmetry and physics go hand in hand 👐 🦋 Isabel Nha Minh Le and @oriel_kiss show you how to implement a symmetry-invariant variational quantum learning model where the benefits are plenty 👇 pennylane.ai/qml/demos/tuto…

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Javier Argüello Luengo
Javier Argüello Luengo@ArguJavier·
I couldn't be happier to share that today is my first day as an Assistant Professor in the Physics Department @la_UPC . Really looking forward to the new adventures ahead 😊
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Giulia De Rosi
Giulia De Rosi@giulia_derosi·
I am excited to announce that today is my 1st day as Assistant Prof. in the Phys. Dept. @la_UPC! I will continue to do research in my fantastic BQMC group and I am already preparing my lectures @ETSABarcelona! 🤩 BCN will be my home forever! I cannot believe it!
Giulia De Rosi tweet media
Barcelona, Spain 🇪🇸 English
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Trini Garcia
Trini Garcia@Trinidad_Gar·
@BorjaRequena Encantada de saludarte. Podemos hablar por mensaje privado? Soy redactora de TVE2. Un saludo
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Biophysical Journal
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. ow.ly/UkBq50Q9WV1
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Borja Requena
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🔥 🔗doi.org/10.1016/j.bpj.…
Borja Requena@BorjaRequena

Glad to share STEP🔥 our latest work studying #Diffusion with #MachineLearning! 🔗arxiv.org/abs/2302.00410 In collaboration with my beloved @gorka_mgm, Maciej Lewenstein, and our amazing experimental buddies🔬 Sergi Masó, Joan Bertran and @carlomanzo78 (mini)trhead👇1/🧵

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Ania Dawid
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! arxiv.org/abs/2311.08381
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Borja Requena
Borja Requena@BorjaRequena·
Super cool work about quantum circuit synthesis with diffusion models🔥
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PennyLane
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 🐉 pennylane.ai/blog/2023/09/b…
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Keşfet

@danielgc25 @XanaduAI @oriel_kiss @_whatsis @ixfoduap @PennyLaneAI @AndiChallenge @ale_gentili_