Pablo Bermejo (@BermeQP) profile picture

Pablo Bermejo

@BermeQP

PhD student at Los Alamos National Laboratory and DIPC. Quantum and not Quantum

Joined March 2022
  • Tweets29
  • Following35
  • Followers89
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Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)Photo by Pablo Bermejo (@BermeQP)
Pablo Bermejo retweeted
Nahuel Diaz (@Nahuel_L_Diaz) profile picture
Nahuel Diaz@Nahuel_L_Diaz16 Jul 2025
New work on Quantum resource theories! arxiv.org/abs/2507.10851 A big thanks to my collaborators @QuAntonioMele @BermeQP @TheImPolster A. Deneris @MartinLaroo and specially @MvsCerezo We provide a unifying framework leading to new free operations, 🧵⬇️
A unified approach to quantum resource theories and a new class of...

A unified approach to quantum resource theories and a new class of...

In quantum resource theories (QRTs) certain quantum states and operations are deemed more valuable than others. While the determination of the ``free'' elements is usually guided by the...

arxiv.org
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Pablo Bermejo retweeted
Marco Cerezo (@MvsCerezo) profile picture
Marco Cerezo@MvsCerezo25 Jun 2025
🚨Excited to share our new paper Characterizing quantum resourcefulness via group-Fourier decompositions from last year's LANL Quantum Computing summer School📘 arxiv.org/abs/2506.19696 !
Image from Marco Cerezo (@MvsCerezo)
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Pablo Bermejo retweeted
Marco Cerezo (@MvsCerezo) profile picture
Marco Cerezo@MvsCerezo16 Nov 2024
So, as your can expect, there will be some doom talk about the issues in Quantum Machine Learning. 🚨👀 But, I am also unveiling some results I am extremely excited about!!
Quantum Spain (@QuantumSpain_ES) profile pictureQuantum Spain@QuantumSpain_ES11 Nov 2024
📢 Join our upcoming #TalentQ Seminar! 🌟 Speaker: Marco Cerezo, Staff Scientist at @LosAlamosNatLab. 📚 Topic: Is Quantum Machine Learning an Ill-Defined Framework? 🗓 Date: Nov 19, 2024 ⏰ Time: 16:00-17:00 CET 🔗 Register here: shorturl.at/rdzHk Don't miss it!
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I am offering a 4 year PhD position to work on quantum algorithms for many-body problems, to stat in Winter of 2025. Please do forward the announcement to potentially interested candidates! ift.uam-csic.es/en/jobs/phd-…
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Zoe Holmes (@qZoeHolmes) profile picture
Zoe Holmes@qZoeHolmes25 Sep 2024
We’re looking for a post doc to join us exploring the intersection of quantum chemistry and quantum computing - 2 year position - Based in the QIC group at EPFL (Lausanne) - Collaboration with Roche (Basel) Email me if interested
Image from Zoe Holmes (@qZoeHolmes)
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The recordings for the @TQC_conference can be now found in Youtube! Here I share the one for the session where I gave a talk on our work "Showcasing a Barren Plateau Theory Beyond the Dynamical Lie Algebra" (arxiv.org/abs/2310.11505). 🤗 Check it out! 😜 youtube.com/watch?v=kvKihUsu…
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📢Join us for a new Quantum Spain #Seminar! 🚀 Title: Quantum Convolutional Neural Networks are (Effectively) Classically Simulable 🗣️Speaker: Pablo Bermejo, PhD Student at DIPC (Spain) and Los Alamos (USA) 🗓️Date: Sept 24, 2024 🔗 Register here: events.teams.microsoft.com/e…
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Are you interested in Quantum Convolutional Neural Networks? What if they were indeed… classically simulable? arxiv.org/abs/2408.12739 "Quantum Convolutional Neural Networks are (Effectively) Classically Simulable"
Quantum Convolutional Neural Networks are Effectively Classically Simulable

Quantum Convolutional Neural Networks are Effectively Classically Simulable

Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML). In this work we tie their heuristic success to two facts. First, that...

arxiv.org
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To conclude... 1 - We cast doubt on more general QML architectures, beyond the QCNN
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2 - We state the need for non-trivial datasets in QML. These results strongly suggest reconsidering the use of classical datasets. For quantum data... can we come up with challenging datasets for our QML architectures?...
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Are you interested in Quantum Convolutional Neural Networks? What if they were indeed… classically simulable? arxiv.org/abs/2408.12739 "Quantum Convolutional Neural Networks are (Effectively) Classically Simulable"
Quantum Convolutional Neural Networks are Effectively Classically Simulable

Quantum Convolutional Neural Networks are Effectively Classically Simulable

Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML). In this work we tie their heuristic success to two facts. First, that...

arxiv.org
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To conclude... 1 - We cast doubt on more general QML architectures, beyond the QCNN
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2 - We state the need for non-trivial datasets in QML. These results strongly suggest reconsidering the use of classical datasets. For quantum data... can we come up with challenging datasets for our QML architectures?...
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