Author: Lisa

Pietro attended the Annual Meeting of the European Working Group for scientific research on Quantum Computing for High Energy Physics applications (QC4HEP). The Event was hosted at CERN, coordinated by Ivano Tavernelli and Sofia Vallecorsa. Pietro chaired the session of the theory roundtable discussion on equilibrium quantum simulations.

https://www.youtube.com/watch?v=4uzIMFKbIL4 Who says physics has to be difficult? I believe that even the most complex subjects can be simplified and made fun, and that’s the inspiration behind this project. I am Alice Pagano, a quantum research scientist dedicated to advancing research on quantum computers and pushing the boundaries of technology. I have a range of interests beyond my professional work; since childhood, painting has been one of my favorite hobbies. It has been a refuge for my mind throughout my life, allowing me to express my deepest emotions. When I paint, I dream—and dreaming fuels my creativity and inspires me to think outside the box. This passion inspired my project to illustrate quantum physics through animated cartoons. My goal is to make this complex topic not only more understandable but also enjoyable and inspiring for others, emphasizing that nothing is inherently difficult—it all depends on how it’s explained. Building on this premise, I’m thrilled to share my very first animation . Introducing “Foxita,” a curious Italian fox (voiced by me with my strong Italian accent) who becomes puzzled after overhearing humans discuss qubits. In a cozy winter setting—complete with a crackling fire, a glowing full moon, and gently falling snowflakes—Foxita turns to her friend, sQuirrel, who explains the basic concepts of qubits, superposition, and entanglement. This video is designed for audiences of all ages and levels of expertise — from young enthusiasts captivated by engaging illustrations and eager to learn the basics of quantum computers, to quantum experts seeking a fun and fresh perspective on this fascinating field. In an era dominated by AI-generated content, I believe it is important to highlight that this entire video was produced by me; I painted every single frame and thoughtfully considered every detail. I hope you value the effort that went into this work and appreciate the unique personality that each animated creature embodies. This project wouldn’t have been feasible without the invaluable feedback and support from those close to me. A special thanks to Nora Reinić, who graciously lent her voice to the curious sQuirrel and helped me refining the script! Enjoy the first chapter of Quantum Computers Explained, A Cartoon Guide! If you like it, please give it a thumbs up and consider following my YouTube channel @alicequantumland for more content! Ciaooo! What’s in this video: (0:00) – Intro theme (0:09) – Foxita wonders about Qubits (0:50) – Understanding Bits in Classical Computers (1:40) – Superposition (2:07) – Measurement (2:21) – Entanglement (2:58) – The Power of Quantum Computing (3:29) – Closing theme  

Alberto and Daniel joined, together with Lorenzo Borella from Padova’s BOOSTLab group, the “Tensor network and neural network implementation on FPGA” at CERN.They worked with their host, Enrique Rico Ortega, to better understand how tensor networks can be used in the Next Generation Triggers (NGT) project. After five days of workshop, where they shared different expertise, and a visit to the ATLAS experiment, they have gained the knowledge to tackle the next steps.

Francesco joins the second Quantum Energy Initiative workshop in Grenoble, presenting an overview of energy storage in many-body quantum systems and a recent work on charging precision using D-Wave’s Advantage QPU.

Discover more by visiting the official website.

Luka and Daniel visited the Consiglio Nazionale delle Ricerche (CNR) in Rome to explore how the next generation of Quantum TEA backends could look like. After three days of intense discussions with Massimo Bernaschi at the Istituto per le Applicazioni del Calcolo and thanks to Massimo’s patience, we have developed a common understanding where the bottlenecks of our tensor network simulations on the GPU are and how we can potentially solve them together in the future.

Daniel presented during the first AI-INFN hackathon on quantum-inspired machine learning. The tensor network – that we know well from our quantum many-body systems – can also be applied to supervised machine learning. And our Quantum TEA software can be tuned to solve this type of problem as well!

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.