Several results based on Quantum TEA were presented at the QuantumComputing@INFN in Padova end of October. Check out the slides from Daniel on benchamarking, Davide on using Quantum TEA as an emulator, Nora on entanglement measures, and Francesco on simulations for open quantum systems.
We are thrilled to announce we have presented a poster about QMatchaTea at the MQSF conference, an incredibly engaging event filled with fascinating presentations on cutting-edge quantum software and tools! The poster, created in collaboration with ParTec AG and CINECA, highlights key insights from our benchmarking results and showcases QMatchaTea’s potential within the quantum research community. You can find all the details in the poster!
Open Science: our 2023 publication on the green quantum advantage has been selected by IOP Publishing to highlight success stories of the transformative agreement allowing us to easily publish open-access. Open-access publications are one pillar of open science next to open-source software like our Quantum TEA software or open-data repositories.
Overview The second quantum computing workshop @ INFN will be held in Padova on 29-31 October 2024. Quantum computing potentially offers a paradigm shift for issues of interest to INFN, in areas ranging from quantum machine learning to event reconstruction and simulation for experiments, theoretical physics, and many others. The Quantum Computing @INFN workshop represents an opportunity for the community to come together and receive training, with the objectives of presenting ongoing activities, fostering the exchange of knowledge and experiences, and attracting researchers and technologists who wish to acquire or enhance their skills. We invite you to visit the official event page for more information.
Pietro presented the Mid-Term Report of the QuantERA Project T-NiSQ at the QuantERA Strategic Conference 2024, held in Amsterdam (Netherlands) on the 24th and 25th of September
Francesco attended the “Non-equilibrium quantum many-body systems” workshop in Genova, organised by Prof. Dario Ferraro and Prof. Maura Sassetti, presenting his recent work on singlet fission in extended media.
Il Ministero delle Imprese e del Made in Italy – Direzione generale per le nuove tecnologie abilitanti, in un’ottica partecipativa e di coinvolgimento degli stakeholders, intende consultare operatori di mercato attivi nelle applicazioni industriali e produttive delle tecnologie quantistiche. L’ambito di analisi della consultazione riguarda, in particolare, le principali tecnologie quantistiche in un contesto di progettazione, sviluppo, assemblaggio ed uso, prendendo in esame anche l’aspetto componentistico per quanto riguarda i principali pilastri di applicazione: comunicazione quantistica; sensoristica e metrologia quantistica; computazione quantistica; simulazione quantistica. I contributi e le comunicazioni in risposta all’avviso di consultazione possono essere inviati entro il termine dell’11 luglio 2024 all’indirizzo e-mail: DGTEC@mise.gov.it Documenti Consultazione pubblica in materia di tecnologie quantistiche (docx) Informazioni sul trattamento dei dati personali (docx) Ufficio competente Direzione generale per le nuove tecnologie abilitanti Ulteriori informazioni Per ulteriori informazioni consultate il sito ufficiale del Ministero delle Imprese e del Made in Italy.
Rocco and Asmita attended a workshop on machine learning organized by AQTIVATE for PhD research fellows, from February 12th to March 1st at the Technical University of Berlin. The fellows actively participated in training sessions covering advanced machine learning techniques and applications. The combination of lectures and hands-on tutorials was very useful to help the fellows advance their research and stay informed on the latest developments in machine learning.
Rocco and Asmita attended the AQTIVATE workshop on ”Exascale computing and scalable algorithms” in Stockholm between 27 November 2023 and 14 December 2023 with 13 other AQTIVATE PhD research fellows. They had the opportunity to be trained on topics including theoretical and practical aspects in the design of scalable algorithms for exascale High-Performance Computing; their adoption for linear solvers, eigensolvers and fundamental simulation algorithms; introduction to computer architectures, performance engineering and GPU programming.
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