# Physics 6,273 courses and talks. - [Real-time jet simulation: from classical to quantum devices](https://invisiblenetwork.ai/learn/cern/3022009): Meijian Li · CERN - [EFTs in flavour physics](https://invisiblenetwork.ai/learn/cern/3022027): Javier Virto · CERN - [Observation of string-breaking on a (2+1)D Rydberg quantum simulator](https://invisiblenetwork.ai/learn/cern/3021174): Torsten V. Zache · CERN - [The Schwinger model as an open quantum system](https://invisiblenetwork.ai/learn/cern/3021173): Karl Jansen · CERN - [Flavour physics theory](https://invisiblenetwork.ai/learn/cern/3021231): Alexander Lenz · CERN - [Measurements overview at pp colliders](https://invisiblenetwork.ai/learn/cern/3021234): Guy Wilkinson · CERN - [Parton distribution functions through real-time evolution of tensor network states](https://invisiblenetwork.ai/learn/cern/3021223): Manuel Schneider · CERN - [Measurements at e+e- colliders](https://invisiblenetwork.ai/learn/cern/3021233): Marie-Helene Schune · CERN - [Flavour physics theory](https://invisiblenetwork.ai/learn/cern/3021232): Alexander Lenz · CERN - [Particle production and hadronization temperature in the massive Schwinger model](https://invisiblenetwork.ai/learn/cern/3021796): Laura Batini · CERN - [Thermalization in ϕ4 theory via quantum simulation](https://invisiblenetwork.ai/learn/cern/3021808): Wenyang Qian · CERN - [Toward quantum computing nonequilibrium phenomena in the Standard Model and beyond](https://invisiblenetwork.ai/learn/cern/3021810): Zohreh Davoudi · CERN - [Non-thermal and hydro attractors in strongly correlated quantum systems](https://invisiblenetwork.ai/learn/cern/3021798): Aleksas Mazeliauskas · CERN - [Quantum field simulation for selected problems in particle physics and cosmology](https://invisiblenetwork.ai/learn/cern/3021805): Stefan Floerchinger · CERN - [Introduction](https://invisiblenetwork.ai/learn/cern/3023522): Marzia Bordone · CERN - [Accelerating Transformer Neural Networks on FPGAs for High Energy Physics Experiments](https://invisiblenetwork.ai/learn/cern/3021083): Filip Wojcicki · CERN - [Disruptive Efinix Quantum Architecture](https://invisiblenetwork.ai/learn/cern/3021270): Harald Werner · CERN - [Implementation of Time to Digital Converter on FPGA for high-resolution-performance in Particle Therapy applications](https://invisiblenetwork.ai/learn/cern/3023519): ARASH AMINI BARDPAREH · CERN - [Superconducting nanowire detectors: from quantum science to high-energy physics](https://invisiblenetwork.ai/learn/cern/3021343): Boris Alexander Korzh · CERN - [The atomic nucleus as a window to new physics](https://invisiblenetwork.ai/learn/cern/3023103): Jason Holt · CERN - [An Area Law for Entanglement Entropy in Particle Scatterings](https://invisiblenetwork.ai/learn/cern/3022682): Ian Low · CERN - [Thermodynamics from the S-matrix reloaded](https://invisiblenetwork.ai/learn/cern/3022624): Joan Elias Miro · CERN - [DELPHI Collaboration and the physics legacy of LEP](https://invisiblenetwork.ai/learn/cern/3022925): Alessandro De Angelis · CERN - [Particle Physics Courses in Florence and Milan](https://invisiblenetwork.ai/learn/cern/3022548): Saverio Braccini · CERN - [Physics in the abyss with KM3NeT: from cosmic rays to neutrino oscillations](https://invisiblenetwork.ai/learn/cern/3022500): Paschal Anthony Coyle · CERN - [Recent Results from the Atacama Cosmology Telescope: Implications for our Understanding of Cosmology and Fundamental Physics](https://invisiblenetwork.ai/learn/cern/3021993): David Spergel · CERN - [Parameter estimation of gravitational waves with a quantum metropolis algorithm](https://invisiblenetwork.ai/learn/cern/3021835): Miguel Angel Martin-Delgado · CERN - [Emittance evolution in physics and luminosity-calibration fills: what measurements do we have and what did we learn from them?](https://invisiblenetwork.ai/learn/cern/3021843): Sofia Kostoglou · CERN - [Use of reference physics processes for long-term relative-stability monitoring](https://invisiblenetwork.ai/learn/cern/3021846): David Walter · CERN - [An Introduction to Topological Quantum Computation](https://invisiblenetwork.ai/learn/cern/3021811): Miguel Angel Martin Delgado · CERN - [Digital Twins in Physics and Climate Science - interTwin](https://invisiblenetwork.ai/learn/cern/3021589): Jarl Saether and Anna Elisa Lappe · CERN - [The Universe as a Particle Physics Laboratory / Wszechświat jako laboratorium cząstek elementarnych](https://invisiblenetwork.ai/learn/cern/3021957): Krzysztof Turzynski · CERN - [Quantum Databases for Dynamic Data Processing](https://invisiblenetwork.ai/learn/cern/3021553): Carla Sophie Rieger · CERN - [Revisiting the LHC Constraints on Gauge-Mediated Supersymmetry Breaking Scenarios](https://invisiblenetwork.ai/learn/cern/3021495): Rameswar Sahu · CERN - [Revisiting Universal Extra-Dimension Model with Gravity Mediated Decays](https://invisiblenetwork.ai/learn/cern/3021496): Kirtiman Ghosh · CERN - [New Higgses at the electroweak scale](https://invisiblenetwork.ai/learn/cern/3021493): Andreas Crivellin · CERN - [Profile Likelihoods on ML-Steroids](https://invisiblenetwork.ai/learn/cern/3021426): Nikita Schmal · CERN - [Reinterpretation Enhancements with Rivet v4](https://invisiblenetwork.ai/learn/cern/3021442): Andy Buckley · CERN - [HEP Packaging Coordination: Reproducible reuse by default](https://invisiblenetwork.ai/learn/cern/3021446): Matthew Feickert · CERN - [Updates to LHC simulations in ColliderBit](https://invisiblenetwork.ai/learn/cern/3021439): Are Raklev · CERN - [Recent developments in CheckMATE](https://invisiblenetwork.ai/learn/cern/3021440): Krzysztof Rolbiecki · CERN - [WorkspaceExplorer: Web-based visualisation of full likelihoods](https://invisiblenetwork.ai/learn/cern/3021427): Volker Andreas Austrup · CERN - [Seeking an explanation of compressed spectrum excesses at the LHC](https://invisiblenetwork.ai/learn/cern/3021434): Mark Dayvon Goodsell · CERN - [ML-based reweighting of BSM signal grids: an example in Rivet](https://invisiblenetwork.ai/learn/cern/3021436): Tomasz Procter · CERN - [Assessing the correlation between MadAnalysis and Rivet implementations](https://invisiblenetwork.ai/learn/cern/3021435): Martin Habedank · CERN - [Contur update](https://invisiblenetwork.ai/learn/cern/3021437): Joe Egan · CERN - [ADL/CutLang developments for (re)interpretation](https://invisiblenetwork.ai/learn/cern/3021438): Ahmetcan Sansar · CERN - [SModelS v3: Going Beyond Simple Z2 Topologies](https://invisiblenetwork.ai/learn/cern/3021441): Andre Lessa · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=physics&page=117)