Machine Learning in Physics

Last updated on Aug 13, 2021
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Artwork by Sandbox Studio, Chicago with Ana Kova. Web Link

For more information see the following conference that I have organized together with some collaborators:

Field Theory Particle Physics Machine Learning Deep Learning
Enrico Rinaldi
Enrico Rinaldi
Research Scientist

My research interests include artificial intelligence and quantum computing applied to particle physics and quantum many-body systems.

Related

Publications

Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo
We study the two matrix models using deep learning methods and quantum simulations. We benchmark the results against lattice Monte Carlo simulations.
Enrico Rinaldi, Xizhi Han, Mohammad Hassan, Yuan Feng, Franco Nori, Michael McGuigan, Masanori Hanada
Preprint PDF Cite Project Project DOI Supplemental Material
Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo
Viewpoint: Machine Learning Tackles Spacetime
Neural networks enable an important calculation in a popular approach to unifying quantum mechanics with general relativity
Enrico Rinaldi
PDF Project Project APS
Viewpoint: Machine Learning Tackles Spacetime

Events

Quantum Gravity in the Lab: matrix quantum mechanics meets quantum computing
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black …
May 18, 2022 1:00 PM — 2:30 PM Komaba Particle Theory group at the University of Tokyo, Japan
PDF Project Project Slides
Dispersive qubit readout with machine learning
Dec 13, 2021 3:06 PM ML4PS Workshop - Organized during Neurips 2021
Enrico Rinaldi, Roberto Di Candia, Simone Felicetti, Fabrizio Minganti
PDF Project Slides
Dispersive qubit readout with machine learning
Machine Learning for the Physical Sciences (ML4PS) 2021
Machine learning methods have had great success in learning complex representations of data that enable novel modeling and data …
Dec 13, 2021 3:06 PM — Dec 16, 2021 3:06 PM Online, ZOOM - Organized during Neurips 2021
Project
Neural quantum states for supersymmetric quantum gauge theories
Dec 13, 2021 3:06 PM ML4PS Workshop - Organized during Neurips 2021
Enrico Rinaldi, Xizhi Han
PDF Project Project Slides
Neural quantum states for supersymmetric quantum gauge theories
Quantum Gravity Meets Quantum Computing
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black …
Nov 8, 2021 9:07 AM — Nov 12, 2021 9:07 AM QTML 2021 - Virtual conference (Zoom) - Hosted by RIKEN and RIKEN AIP
PDF Code Project Project Slides Video
Quantum Gravity Meets Quantum Computing
Quantum Gravity in the Lab: matrix quantum mechanics meets quantum computing
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black …
Nov 3, 2021 10:00 PM — 11:00 PM Fundamental Particle Physics group at the University of Liverpool, UK
PDF Project Project Slides
Quantum gravity in the lab. Matrix quantum mechanics meets quantum computing
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black …
Oct 26, 2021 4:00 PM — 5:00 PM NSCL/FRIB Theory Seminar, Michigan State University, East Lansing, MI, USA
PDF Project Project Slides Video
Quantum gravity in the lab. Quantum computing and deep learning solutions
Quantum mechanics is at the core of our understanding of the subatomic world. Moreover, it is driving a new industry based on quantum …
Oct 21, 2021 4:00 PM — 5:00 PM AI Paper Reading, Special Session, Infineon Technologies, Munich, Germany
PDF Project Project Slides
Benchmarking quantum algorithms for quantum field theory
Can we use quantum computing to answer important questions in quantum field theory? Once we can formulate the problem on a quantum …
Oct 20, 2021 4:00 PM — 5:00 PM Joint workshop on Quantum Computing, R-CCS, IHPC, CQT, NSCC, Singapore
PDF Project Project Slides
Simulation-based inference for multi-type cortical circuits.
In many scientific fields, simulators for dynamical systems generate a massive amount of data. One of the crucial tasks scientists are …
Oct 7, 2021 — RIKEN-OIST Joint Symposium on AI/Data and Neuroscience
PDF Project
Simulation-based inference for multi-type cortical circuits.
A deep learning and hybrid quantum-classical approach to matrix quantum mechanics
Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black …
Sep 22, 2021 4:00 PM — 5:00 PM Computational Quantum Science Laboratory, EPFL, Lausanne
PDF Project Project Slides
Introduction to simulation-based inference
In many scientific fields, ranging from astrophysics to particle physics and neuroscience, simulators for dynamical systems generate a …
Jul 6, 2021 4:00 PM — 5:00 PM Center for Brain Science (CBS), RIKEN, Wako
PDF Project Slides
Introduction to simulation-based inference
The Data Science of Physics
Applications of Machine Learning to Particle Physics
Jun 13, 2019 4:00 PM — 5:00 PM Arithmer Inc., Tokyo
PDF Project Slides
The Data Science of Physics