2023-11-30
15:44 |
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2023-11-30
09:22 |
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Physics with TeV Neutrinos from the LHC
/ Rojo, Juan (speaker) (VU Amsterdam and Nikhef)
Proton-proton collisions at the LHC produce an immense flux of high-energy (up to several TeV) neutrinos along the beam (forward) direction. The breakthrough observation of LHC neutrinos by FASER and SND@LHC in March 2023 heralds a new era in particle physics. [...]
2023 - 1:20:16.
Theory Colloquia
External link: Event details
In : Physics with TeV Neutrinos from the LHC
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2023-11-29
16:26 |
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2023-11-29
15:32 |
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2023-11-29
10:27 |
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2023-11-29
10:27 |
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KEYNOTE: A General Message Belief Propagation Framework for Quantum Computations
/ Welling, Max (speaker) (University of Amsterdam)
The core computational tasks in quantum systems are the computation of expectations of operators, including reduced density matrices, and the computation of the ground state energy of a quantum system. Many tools have been developed in the literature to achieve this, including Density Functional Theory (DFT), Density Matrix Renormalization Group (DMRG) and other Tensor Network methods, Variational Monte Carlo (VMC) and so on [...]
2023 - 0:46:02.
QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023)
External links: Talk details; Event details
In : Quantum Techniques in Machine Learning (QTML conference 2023)
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2023-11-27
14:55 |
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Opening
/ Knobloch, Jens (speaker) (Helmholtz-Zentrum Berlin & Universität Siegen) ; Tecker, Frank (speaker) (CERN) ; Vollinger, Christine (speaker) (CERN)
2023 - 0:59:53.
CERN Accelerator School; CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany
External links: Talk details; Event details
In : CAS course on "RF for Accelerators", 18 June - 01 July 2023, Berlin Germany
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2023-11-27
13:40 |
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INVITED TALK: Topics in quantum topological data analysis
/ Dunjko, Vedran (speaker) (Leiden University)
Abstract:
Although still a relatively niche field in classical machine learning, topological data analysis has raised substantial interest from the perspective of quantum algorithms in the last few years.
In this talk we will introduce the topic of topological data analysis, and discuss the state-of-art of quantum algorithms for this problem, together with their promises and limitations, possible generalisations and connections to many-body physics..
2023 - 0:41:58.
QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023)
External links: Talk details; Event details
In : Quantum Techniques in Machine Learning (QTML conference 2023)
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2023-11-27
13:40 |
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INVITED TALK: Accelerating Discovery in Particle Physics with AI
/ Ngadiuba, Jennifer (speaker) (FNAL)
The quest to understand the fundamental constituents of the universe is at the heart of particle physics. However, the complexity of particle interactions, the volume of data produced by experiments, and the intricacy of theoretical models present significant challenges to advancements in this field. [...]
2023 - 0:44:32.
QTI other events or meetings; Quantum Techniques in Machine Learning (QTML conference 2023)
External links: Talk details; Event details
In : Quantum Techniques in Machine Learning (QTML conference 2023)
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2023-11-27
13:40 |
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