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See our recent work on active learning for multinomial classification in physics on arxiv.org/abs/2109.08612 today, with José D. Martín, Yujing, Rafael, and @xichen_bilbao

Our tutorial on Quantum Machine Learning has already been assigned to a Neurocomputing Computer Science issue @LucasLamata Open access with no restrictions sciencedirect.com/science/articl…

Our paper "Quantum pattern recognition in photonic circuits" has been published iopscience.iop.org/article/10.108… Proud of our master student Rui Wang, our collaborators José D. Martín Universitat València as well as of Pancho, project leader Francisco Albarran Quantum Flagship Quantentechnologien The Quantum Insider

Our new results on Quantum Stream Learning release today! Thanks the collaboration from jonzen.ding José D. Martín. arxiv.org/abs/2112.06628 Ramón y Cajal @ UPV/EHU @ehuscientia QUANTEK

Congratulations! New paper on active learning applied as quantum information retrieval in qutrits and phase boundary prediction in many-body physics. journals.aps.org/prresearch/abs… Ramón y Cajal @ UPV/EHU NQUIRE Center @ehuscientia QUANTEK José D. Martín jonzen.ding Physical Review Research

Interesante jornada sobre computación cuántica lnkd.in/e-d65z6Q #ComputaciónCuantica #quantumcomputing #quantumtechnology

Esta tarde hablaré de cómo la Inteligencia Artificial extrae información útil de imágenes médicas de próstata en junto a mi estudiante Oscar Pellicer y Juan Casanova, Jefe del Servicio de Urología del IVO. Presencial en Ateneo Valencia y online aquí 👇us06web.zoom.us/j/86037471578

Our visionary paper Quantum Brain Networks (QBraiNs) merging Neurotech, AI & QC is published mdpi.com/2079-9292/11/1… Top interdisciplinary team @bio_computer José D. Martín Satvik Venkatesh Carlos Hernani-Morales @LucasLamata More soon Quantum Flagship Quantentechnologien The Quantum Insider

Our perspective paper on Quantum Brain Networks selected for the cover of #mdpielectronics, vol. 11, issue 10 👉 mdpi.com/2079-9292/11/10 @LucasLamata Enrique Solano @bio_computer @electronicsMDPI

👋👋Welcome to read new paper:"#QuantumBrainNetworks: A Perspective" coauthored by Eduardo R. Miranda et al. Free access to the full paper: mdpi.com/2079-9292/11/1… #mdpielectronics #electronics #openaccess #quantumcomputing

Hot off the press! Very proud of the publication of this paper with my student Mykola Harvat in Neurocomputing Elsevier We study memory degradation in recurrent architectures when attention comes into play doi.org/10.1016/j.neuc…

Glad to know that our disruptive paper on quantum brain networks is the most viewed one on quantum electronics Enrique Solano @LucasLamata @bio_computer Electronics MDPI

We started Kipu Quantum tech week in Berlin with partner Universitat València José D. Martín We merge quantum machine learning (QML) with digitized-counterdiabatic QC (DCQC), counterdiabatic QC (CQC), and digital-analog QC (DAQC), via algorithm compression to run in QC hardware. Stay tuned!

lavanguardia.com/local/valencia… Enrique Solano IDAL Kipu Quantum ETSEUV

José D. Martín IDAL Kipu Quantum ETSEUV Excelente acuerdo ETSEUV IDAL Kipu Quantum Acuerdo visionario para traer la ventaja cuántica del quantum machine learning (QML) al presente de los ordenadores cuánticos y las aplicaciones industriales. Amistad y talento generan creatividad interdisciplinaria Quantum Spain

A research team led by José D. Martín, from the Universitat València and @valgrAI, starts a collaboration with the german company Kipu Quantum to improve key aspects of #quantumcomputing using #machinelearning tools. #QuantumMachineLearning #QML #AI lavanguardia.com/local/valencia…

Great new work by jonzen.ding @xichen_bilbao José D. Martín Magdalena Krol-Rafa @ehuscientia QuArtist Center UPV/EHU valgrai Kimika Fakultatea UPV/EHU - 'Closed-loop control of a noisy #qubit with #reinforcementlearning' - bit.ly/3NZhah5 #quantum #machinelearning #quantumcomputing #AI

Our review on active learning in physics. Thanks to José D. Martín, Yolanda, @xichen_bilbao for the work, and all collaborators on the topic during the past years. arxiv.org/abs/2307.03899

New preprint! We find out robust two qubit gate with DRL. Nice collaboration among the groups from NQUIRE Center @ehuscientia Tian-Niu jonzen.ding QuArtist Center José D. Martín more details: arxiv.org/abs/2312.06335

Great collab as usual with @xichen_bilbao and the team José D. Martín Yue and especially jonzen.ding on quantum active learning. Looking forward to finding new applications! OpenSuperQPlus Ikerbasque BCAM