
Michele Grossi
@grosqmichi
#Physicist #researcher @CERN Passionate about #quantumcomputing and #motorbikes. Willing to solve problems with original ideas Tweets are my own
ID: 1112419665307975685
31-03-2019 18:21:30
601 Tweet
369 Followers
243 Following

Are you interested in generating images using quantum computing? Check out our new approach: LaSt-QGAN! arxiv.org/abs/2406.02668 Michele Grossi Supanut Thanasilp Bertrand Le Saux #MachineLearning #QuantumComputing #GenerativeModeling #GenerativeAdversarialNetworks

Great new work by Florentin Reiter Michele Grossi Günther Dissertori Sofia Vallecorsa et al ETH Physics Quantum Center, ETH Zurich, Switzerland CERN Quantum Technology Initiative (CERN QTI)-'Guided #quantum compression for high dimensional #dataclassification'- iopscience.iop.org/article/10.108… #machinelearning #quantumcomputing #HEP #QML #LHC #bigdata



Roadmap: Quantum algorithms and quantum machine learning could assist high-energy physics, ranging from studying neutrino oscillations to reconstructing particle trajectories in colliders. CERN CERN Quantum Technology Initiative (CERN QTI) DESY CQTA IBM Research go.aps.org/3LVj6EM








🔔 new paper out! We tried to answer important questions about noise, loss concentration. Enjoy the 🧵from Giulio Crognaletti who made a super work! CERN Quantum Technology Initiative (CERN QTI)

I was having fun observing the Kibble-Zurek mechanism using the IQM Quantum Computers ⚛️ quantum computer. 👉 scirate.com/arxiv/2410.062…. We leveraged a symmetry-based noise renormalization strategy to perform up to 16 Trotter steps 🏁. with Antonio Mandarino , Michele Grossi and CERN Quantum Technology Initiative (CERN QTI).


Our group's work on the trainability of quantum generative models was published today in Peter Brindisi Quantum Information! We establish a framework that categorizes types of generative loss functions, allowing us to prove surprisingly general trainability results. 🧵👇





Add some ANNNI Ising to the mix! 🌀🎂 Based on research by CERN-QTI (CERN Quantum Technology Initiative (CERN QTI)), this new PennyLane demo explains the phase diagram of the Axial Next-Nearest-Neighbor Ising (ANNNI) model with different quantum machine learning (QML) models. Read more! 🔗👇


Hear from Michele Grossi (Michele Grossi), Coordinator of Hybrid Quantum Computing Infrastructure and Algorithms at CERN Quantum Technology Initiative (CERN Quantum Technology Initiative (CERN QTI)), on why PennyLane (PennyLane) is their go-to platform for research.👇 pennylane.ai/research
