# Computer science 3,407 courses and talks. - [Noisy Intermediate-Scale Quantum algorithms](https://invisiblenetwork.ai/learn/cern/3001883): Alba Cervera-Lierta · CERN - [Cold atoms meet lattice gauge theory](https://invisiblenetwork.ai/learn/cern/3020081): Maciej Lewenstein · CERN - [Quantum computing for High Energy Physics applications](https://invisiblenetwork.ai/learn/cern/3013677): Sofia Vallecorsa · CERN - [3D-integrated superconducting quantum circuits](https://invisiblenetwork.ai/learn/cern/3013683): Peter Leek · CERN - [High-energy physics at ultracold temperatures – quantum simulation of lattice gauge theories with cold atoms](https://invisiblenetwork.ai/learn/cern/3013620): Philipp Hauke · CERN - [Introduction to Machine learning](https://invisiblenetwork.ai/learn/cern/3013590): Michael Aaron Kagan · CERN - [Dimensional Expressivity Analysis of Parametric Quantum Circuits](https://invisiblenetwork.ai/learn/cern/3009710): Lena Funcke · CERN - [From Quantum Links to D-Theory: A Resource Efficient Framework for the Quantum Simulation of Gauge Theories](https://invisiblenetwork.ai/learn/cern/3013558): Uwe-Jens Wiese · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3016238): Dorota Maria Grabowska · CERN - [Quantum simulation for nuclear physics](https://invisiblenetwork.ai/learn/cern/3013587): Zohreh Davoudi · CERN - [Computing Security in 2021](https://invisiblenetwork.ai/learn/cern/3013584): Stefan Lueders · CERN - [Measurement-based eigensolvers for problems in high energy physics](https://invisiblenetwork.ai/learn/cern/3013596): Luca Dellantonio · CERN - [Particle Physics Circa 2021](https://invisiblenetwork.ai/learn/cern/3013518): Savas Dimopoulos · CERN - [Atom Interferometry with MAGIS-100 and AION](https://invisiblenetwork.ai/learn/cern/3013442): Jeremiah Mitchell · CERN - [Quantum sensors from the tabletop to the Universe](https://invisiblenetwork.ai/learn/cern/3013464): Jonathan R. Ellis · CERN - [Optimal metrology with variational quantum circuits on trapped ions: theory and experiment](https://invisiblenetwork.ai/learn/cern/3013384): Raphael Kaubruegger and Christian Marciniak · CERN - [Navigating Quantum Systems to Detect Ultra-Cold Neutrinos from the Big Bang](https://invisiblenetwork.ai/learn/cern/3013389): Chris Tully · CERN - [The piezoaxionic effect](https://invisiblenetwork.ai/learn/cern/3013385): Asimina Arvanitaki · CERN - [Quantum sensitivity limits of nuclear magnetic resonance searches for axion-like dark matter](https://invisiblenetwork.ai/learn/cern/3013333): Alex Sushkov · CERN - [Quantum Metrology Assisted Experiments at the Antiproton Decelerator Facility of CERN](https://invisiblenetwork.ai/learn/cern/3013327): Stefan Ulmer · CERN - [Direct detection of light dark matter with quantum materials and sensors](https://invisiblenetwork.ai/learn/cern/3002737): Tongyan Lin · CERN - [PHYSTAT seminar: From COVID-19 Testing to Election Prediction: How Small Are Our Big Data?](https://invisiblenetwork.ai/learn/cern/3005480): Xiao-Li Meng · CERN - [Searching for Dark States with Nonlinear Optics](https://invisiblenetwork.ai/learn/cern/3002417): Roni Harnik · CERN - [Coherent-Field Dark Matter: Candidates and Search Methods](https://invisiblenetwork.ai/learn/cern/3013199): Andreas Ringwald · CERN - [Fundamental tests of Quantum Mechanics](https://invisiblenetwork.ai/learn/cern/3013258): Angelo Bassi · CERN - [Tackling computing challenges at CERN (Webcast)](https://invisiblenetwork.ai/learn/cern/3013277): Maria Girone · CERN - [Quantum Sensors for Particle Physics](https://invisiblenetwork.ai/learn/cern/3013125): Sunil Golwala · CERN - [Welcome](https://invisiblenetwork.ai/learn/cern/3013239): Dorota Maria Grabowska · CERN - [Quantum Sensing for Dark Matter and Gravitational Waves](https://invisiblenetwork.ai/learn/cern/3013122): Peter Graham · CERN - [Presentation by CERN Director of Research and Computing - LIVE](https://invisiblenetwork.ai/learn/cern/3013115): Joachim Josef Mnich · CERN - [Design patterns and best practices](https://invisiblenetwork.ai/learn/cern/3012295): Daniel Campora · CERN - [Performant programming for GPUs](https://invisiblenetwork.ai/learn/cern/3011097): Daniel Campora · CERN - [Programming for GPUs](https://invisiblenetwork.ai/learn/cern/3012115): Dorothea vom Bruch · CERN - [Track reconstruction on heterogeneous architectures with SYCL](https://invisiblenetwork.ai/learn/cern/3017755): Bartosz Sobol · CERN - [FRED: a fast Monte Carlo code on GPU for Treatment Planning Software](https://invisiblenetwork.ai/learn/cern/3017751): Micol De Simoni · CERN - [PyTorch C++ API](https://invisiblenetwork.ai/learn/cern/3012278): David Brunner · CERN - [Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier](https://invisiblenetwork.ai/learn/cern/3012277): Florian Bury · CERN - [Scientific computing on heterogeneous architectures](https://invisiblenetwork.ai/learn/cern/3010935): Dorothea vom Bruch · CERN - [Practical vectorization](https://invisiblenetwork.ai/learn/cern/3010926): Sebastien Ponce · CERN - [Parallel and optimised scientific software - exercise debriefing](https://invisiblenetwork.ai/learn/cern/3012293): Sebastien Ponce · CERN - [Exploring Heterogeneous Architectures in Track Reconstruction Software](https://invisiblenetwork.ai/learn/cern/3017760): Georgiana Mania · CERN - [Parallel and optimised scientific software - exercise introduction](https://invisiblenetwork.ai/learn/cern/3009904): Sebastien Ponce · CERN - [Optimizing existing large codebase](https://invisiblenetwork.ai/learn/cern/3010806): Sebastien Ponce · CERN - [Special evening talk: Future of the Universe and of Humanity](https://invisiblenetwork.ai/learn/cern/3008279): Ivica Puljak · CERN - [Modern programming languages for HEP](https://invisiblenetwork.ai/learn/cern/3010805): Sebastien Ponce · CERN - [Writing parallel software](https://invisiblenetwork.ai/learn/cern/3014828): Danilo Piparo · CERN - [Preparing for the HL-LHC computational challenge](https://invisiblenetwork.ai/learn/cern/3007333): Danilo Piparo · CERN - [Introduction to CERN School of Computing](https://invisiblenetwork.ai/learn/cern/3014667): Sebastian Lopienski · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=computing&page=47)