Using quantum computers to improve machine learning and optimization algorithms

Christoph Paus

With my students and postdocs, we use various machine learning techniques to push our CMS data analysis and squeeze the most out of the data. Specifically, we work on lepton identification, boosted particle reconstruction including subjet structure information, improved mass and energy reconstruction.

Eddie Farhi

Quantum computing and machine learning

Understanding the physics of machine learning, including natural realizations in quantum systems and noisy classical systems

Jackie Hewitt

Analysis and interpretation of 21 cm cosmology data from HERA

Jeremy England

The non-equilibrium statistical mechanics of neural networks

Jesse Thaler

Studying LHC events using techniques from weak supervision & topicmodeling. In the process, discovered linear basis for collider observables, allowing linear regression to match the classification performance of deep neural networks.

Liang Fu

Modeling many-body systems near phase transitions with machine learning-accelerated Monte Carlo simulation

Novel AI techniques to help with physics research. Physics-inspired algorithms for better machine learning. Novel hardware for AI.

Machine learning tools for reconstructing, monitoring, and analyzing experimental particle physics data CMS

Matt Evans

LIGO event detecton and analysis with machine learning

Modeling phase transitions with deep learning. Using physics-inspired techniquest to make deep learning algorithms more efficient, transparent and trustworthy.

Mike Williams

Machine learning tools for analyzing experimental particle physics data from LHCb & CMS

Philip Harris

Real-time LHC data reconstruction using FPGA-based DNN inference; Higgs coupling extraction via adversarial NNs for automated tuning of MC QCD simulations

Sarah Seager

Machine learning for finding exoplanets in large data sets

Seth Lloyd

Quantum machine learning

Use machine learning to speed up lattice QCD calculations for particle and nuclear physics (e.g. arXiv:1801.05784)

We’re using machinelearning tools to analyze particle physics data from the Large Hadron Collider.

MIT Physics