# Physics

6,273 courses and talks.

- [SG4 Particle Detectors](https://invisiblenetwork.ai/learn/cern/3022799): Rozalina Nedyalkova and others · CERN
- [SG1 Particle Accelerators](https://invisiblenetwork.ai/learn/cern/3023131): Supanee Sangsin and others · CERN
- [Astroparticle Physics 2/2](https://invisiblenetwork.ai/learn/cern/3022780): Bradley Kavanagh · CERN
- [Astroparticle Physics 1/2](https://invisiblenetwork.ai/learn/cern/3022745): Bradley Kavanagh · CERN
- [Particle physics technologies for healthcare applications 2/2](https://invisiblenetwork.ai/learn/cern/3022729): Manuela Cirilli · CERN
- [Introduction to Quantum Computing, Quantum Machine Learning and Optimization](https://invisiblenetwork.ai/learn/cern/3023043): Carla Sophie Rieger · CERN
- [Particle physics technologies for healthcare applications](https://invisiblenetwork.ai/learn/cern/3022651): Manuela Cirilli · CERN
- [Theoretical Concepts in Particle Physics](https://invisiblenetwork.ai/learn/cern/3022505): Tim Cohen · CERN
- [From Raw Data to Physics Results 3/3](https://invisiblenetwork.ai/learn/cern/3022492): Josh Bendavid · CERN
- [Particle World 3/4](https://invisiblenetwork.ai/learn/cern/3022452): David Tong · CERN
- [From Raw Data to Physics Results 2/3](https://invisiblenetwork.ai/learn/cern/3022451): Josh Bendavid · CERN
- [From Raw Data to Physics Results 1/3](https://invisiblenetwork.ai/learn/cern/3022404): Josh Bendavid · CERN
- [Particle World 2/4](https://invisiblenetwork.ai/learn/cern/3022405): David Tong · CERN
- [Particle World 1/4](https://invisiblenetwork.ai/learn/cern/3022394): David Tong · CERN
- [Hunting for BSM from the NYU time with Gian to the present low-energy high-precision physics hope](https://invisiblenetwork.ai/learn/cern/3022325): Antonio Masiero · CERN
- [Higgs, Flavor, and the scale of New Physics](https://invisiblenetwork.ai/learn/cern/3022349): Gino Isidori · CERN
- [Perturbative understanding of non-perturbative physics](https://invisiblenetwork.ai/learn/cern/3022330): Gia Dvali · CERN
- [HI radioactive ion beams](https://invisiblenetwork.ai/learn/cern/3023619): Thierry Stora · CERN
- [DWDM-based White Rabbit Multi-User Time and Frequency Distribution in a Quantum Communication Testbed](https://invisiblenetwork.ai/learn/cern/3022759): Jaffar Kadum · CERN
- [Vacuum Issues](https://invisiblenetwork.ai/learn/cern/3023634): Sergio Calatroni · CERN
- [Injection, Extraction I](https://invisiblenetwork.ai/learn/cern/3023629): Yann Dutheil · CERN
- [Particle Matter interaction](https://invisiblenetwork.ai/learn/cern/3023607): Giuseppe Lerner · CERN
- [Sustainability for High-Intensity Machines](https://invisiblenetwork.ai/learn/cern/3023610): Mike Gerd Seidel · CERN
- [Beam-Beam Effects in Hadron Colliders](https://invisiblenetwork.ai/learn/cern/3023616): Xavier Buffat · CERN
- [Bench Measurements and Simulations of Beam Coupling Impedance](https://invisiblenetwork.ai/learn/cern/3023590): Andrea Mostacci · CERN
- [Statistics for data analysis](https://invisiblenetwork.ai/learn/cern/3021370): Glen Cowan · CERN
- [Lattice QCD](https://invisiblenetwork.ai/learn/cern/3021369): Simon Kuberski · CERN
- [Statistics for data analysis](https://invisiblenetwork.ai/learn/cern/3021417): Glen Cowan · CERN
- [Lattice QCD](https://invisiblenetwork.ai/learn/cern/3021368): Simon Kuberski · CERN
- [Statistics for data analysis](https://invisiblenetwork.ai/learn/cern/3021415): Glen Cowan · CERN
- [Time evolution of local information](https://invisiblenetwork.ai/learn/cern/3021284): Claudia Artiaco · CERN
- [Tensor Network States and HEP](https://invisiblenetwork.ai/learn/cern/3021286): Erez Zohar · CERN
- [EFTs in flavour physics](https://invisiblenetwork.ai/learn/cern/3021322): Javier Virto · CERN
- [Lattice QCD](https://invisiblenetwork.ai/learn/cern/3021325): Simon Kuberski · CERN
- [Overcoming the entanglement barrier of the out of equilibrium simulations with tensor networks in 1D](https://invisiblenetwork.ai/learn/cern/3021340): Luca Tagliacozzo · CERN
- [(Precision) predictions from classical and quantum simulations of gauge theories on the lattice](https://invisiblenetwork.ai/learn/cern/3021326): Marina Krstic Marinkovic · CERN
- [Quantum and quantum-inspired simulations of Lattice gauge theories](https://invisiblenetwork.ai/learn/cern/3021341): Simone Montangero · CERN
- [Theory hands-on session](https://invisiblenetwork.ai/learn/cern/3021391): Peter Stangl and Méril REBOUD · CERN
- [Dynamics of gauge theories and quantum complexity - a journey from NISQ devices to error correction](https://invisiblenetwork.ai/learn/cern/3021243): Marcello Dalmonte · CERN
- [Quantum Simulations driven by Many-Body Complexity](https://invisiblenetwork.ai/learn/cern/3021246): Caroline Robin · CERN
- [Mid-circuit measurements in quantum simulations of lattice gauge theories: from the quantum Zeno effect to error correction](https://invisiblenetwork.ai/learn/cern/3021244): Matteo Michele Wauters · CERN
- [Finite Group Lattice Gauge Theories and their Quantum Simulations](https://invisiblenetwork.ai/learn/cern/3021245): Elisa Ercolessi · CERN
- [Measurements overview at pp colliders](https://invisiblenetwork.ai/learn/cern/3021277): Guy Wilkinson · CERN
- [Quantum Tops: Quantum Information Meets High-Energy Physics](https://invisiblenetwork.ai/learn/cern/3021272): Yoav Afik · CERN
- [Towards Quantum Simulation of Meson Scattering in Z2 Lattice Gauge Theory](https://invisiblenetwork.ai/learn/cern/3021274): Yahui Chai · CERN
- [Flavour physics theory](https://invisiblenetwork.ai/learn/cern/3021276): Alexander Lenz · CERN
- [EFTs in flavour physics](https://invisiblenetwork.ai/learn/cern/3021321): Javier Virto · CERN
- [Long-range interacting quantum systems: a bird's eye view](https://invisiblenetwork.ai/learn/cern/3022008): Nicolo Defenu · CERN

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