Our review on active learning in physics. Thanks to @JoseDMartin_UV, Yolanda, @xichen_bilbao for the work, and all collaborators on the topic during the past years. https://t.co/y40ItBOWpS
We started @KipuQuantum tech week in Berlin with partner @UV_EG@JoseDMartin_UV 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!
Glad to know that our disruptive paper on quantum brain networks is the most viewed one on quantum electronics @KikeSolanoPhys @LucasLamata @bio_computer @ElectronicsMDPI
Hot off the press! Very proud of the publication of this paper with my student Mykola Harvat in Neurocomputing @ElsevierConnect We study memory degradation in recurrent architectures when attention comes into play https://t.co/Iklm6B4jUe
Our perspective paper on Quantum Brain Networks selected for the cover of #mdpielectronics, vol. 11, issue 10 👉 https://t.co/aWsmXxU3o8 @LucasLamata @KikeSolanoPhys @bio_computer @electronicsMDPI
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 @AteneoValencia y online aquí 👇https://t.co/qXm2K39VSJ
Our tutorial on Quantum Machine Learning has already been assigned to a Neurocomputing @comp_science issue @LucasLamata Open access with no restrictions https://t.co/g7psSBgf1b
See our recent work on active learning for multinomial classification in physics on https://t.co/okDqfKb5Mg today, with @JoseDMartin_UV, Yujing, Rafael, and @xichen_bilbao