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Gergely Barnafoldi (Wigner RCP RMI of the Hungarian Academy of Sciences), Peter Levai (WIGNER RCP)22/05/2025, 09:00
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Roland Jakab (HUN-REN)22/05/2025, 09:15
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István Csabai (ELTE Eötvös University, Dept. of Physics of Complex Systems)22/05/2025, 09:30
This year's Nobel Prize in Physics came as a bit of a surprise to many, as the awarded topic does not seem to relate to the traditional fields of physics for the untrained observer. In this talk, I will try to explain how models rooted in statistical physics have laid the groundwork for the rapidly developing algorithms of artificial intelligence today and give a brief overview of the current...
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Sofia Vallecorsa (CERN)22/05/2025, 10:00
Theoretical and algorithmic advances, availability of data, and computing power have opened the door to exceptional perspectives for application of classical Machine Learning in the most diverse fields of science, business and society at large, and notably in High Energy Physics (HEP). In particular, Machine Learning is among the most promising approaches to analyse and understand the data...
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Michael Doser (CERN ? MIT)22/05/2025, 11:15
The seminar will provide a glimpse of some elements of the rapidly evolving field of quantum sensing, specifically focusing on particle physics. Specific approaches involving quantum systems, such as low-dimensional systems or manipulations of ensembles of quantum systems, hold great promise for improving high-energy particle physics detectors, particularly in areas like calorimetry, tracking,...
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152. Batched Line Search Strategy for Navigating through Barren Plateaus in Quantum Circuit TrainingPeter Rakyta (Department of Physics of Complex Systems, Eötvös Loránd University)22/05/2025, 12:00Lecture
Variational quantum algorithms are viewed as promising candidates for demon-
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strating quantum advantage on near-term devices. These approaches typically involve
the training of parameterized quantum circuits through a classical optimization loop.
However, they often encounter challenges attributed to the exponentially diminishing
gradient components, known as the barren plateau (BP)... -
Dr Peter Kovacs (Wigner RCP)22/05/2025, 14:00Lecture
Physics-Informed Neural Networks (PINNs) aim to solve ordinary differential equations (ODEs) and partial differential equations (PDEs). So far, classical digital NNs have been successfully applied to many PDEs, such as the heat equation, Poisson equation, Navier-Stokes equation, to name a few. Recently, Continuous Variable Quantum Neural Networks (CVQNNs) have also been used to solve PDEs in...
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Gergely Gálfi (ELTE IK)22/05/2025, 14:30Lecture
With the emergence of quantum programming languages and compilers, the necessity for optimization naturally arises. In 2022, we introduced a new quantum language called Qubla, designed to facilitate the generation of quantum counterparts to classical (binary) algorithms. The Qubla compiler constructs a sequence of quantum operators based on a description of mixed classical/quantum computation,...
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Zoltán Kolarovszki22/05/2025, 15:00Lecture
Variational quantum algorithms are widely regarded as promising approaches for achieving quantum advantage on near-term hardware. These algorithms typically rely on training parameterized quantum circuits through a classical optimization loop, most often using gradient-based methods with gradients computed via parameter-shift rules. However, in the continuous-variable (CV) model of photonic...
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Mr Mátyás Constans (Széchenyi István Egyetem), Zoltán Horváth (Széchenyi István Egyetem)22/05/2025, 16:00Lecture
From the HiDALGO2 Centre of Excellence of the EuroHPC, the RedSim native multi-GPU and vectorized multi-CPU code for simulating the compressible Navier-Stokes equations with unstructured polyhedral meshes has been developed and optimized.
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From the HiDALGO2 Centre of Excellence of the EuroHPC, the RedSim native multi-GPU and vectorized multi-CPU code for simulating the compressible... -
Dudás Bence (Eötvös Loránd University)22/05/2025, 16:30
Hadron therapy is a form of cancer therapy, where we aim to destroy those cancerous cells that are hard to reach with surgery. Since this kind of approach differs from the classical gamma radiation therapy, the tomography methods used for that are not sufficient enough for Hadron Therapy . Proton Computed Tomography (pCT) is developed to achieve more accurate results for this kind of...
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Zsófia Jólesz22/05/2025, 17:00Lecture
One of the most successful treatments in cancer therapy is proton therapy, with radiation planning being a key element. Photon CT is commonly used for this purpose; however, it does not provide sufficiently accurate information about the range of protons. Therefore, proton CT imaging is more favorable for radiation planning. Due to the Coulomb scattering of protons, it is important to...
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Bence Bakó (Wigner RCP)22/05/2025, 17:30
Precisely estimating eigenstate properties of quantum many-body systems is a task of fundamental importance that is naturally demanding when approached using classical computation alone. While the incorporation of quantum computation provides promising alternative paths, their practical utility in near-term and early fault-tolerant quantum devices requires offloading as much computational...
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Dr Orsolya Gereben (Institute of Biophysics and Radiation Biology, Semmelweis University)23/05/2025, 09:00Lecture
Predicting whether single amino acid variants (SAVs) in proteins lead to pathogenic outcomes is a critical challenge in molecular biology and precision medicine. Experimental determination of the effects of all possible mutations or those observed in pathogenic individuals is infeasible. While existing state-of-the-art tools such as AlphaMissense show promise, their performance remains...
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Vera Könyves (SZTAKI (Institute for Computer Science and Control))23/05/2025, 09:30Lecture
I will present AI applications in problems from Astrophysics to Robotics. Some of these developments and advancements are done within the Artificial Intelligence National Laboratory (MILAB), a state-of-the-art research facility focused on AI technologies.
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Marcell Stippinger (HUN-REN Wigner FK RMI Komputációs Tudományok Osztálya)23/05/2025, 10:00Lecture
In this talk, we present three use cases demonstrating how AI tools are advancing research at the HUN-REN Wigner Research Centre for Physics as part of the AI 4 Science program.
- Literature Review with Large Language Models (LLMs): We leverage large language models to streamline literature searches and process complex scientific documents. Recent state-of-the-art open-source models are...
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Attila Farkas (HUN-REN SZTAKI)23/05/2025, 11:00Lecture
HUN-REN Cloud's primary goal is to support the Hungarian scientific community by providing essential e-infrastructure for their research. The HUN-REN Cloud is one of the main infrastructure pillars of the AI4Science program, which aims to enhance the use of artificial intelligence within the HUN-REN Research Network. This new program has opened up even more opportunities for researchers on the...
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Antal Jakovac (Wigner RCP, Department of Computational Sciences)23/05/2025, 11:30Lecture
Building models for multi-channel data can be complex, as it is often unclear which channels influence others and what the optimal time lag is. Allowing too many free parameters can be inefficient, requiring large amounts of data for reliable estimation and often leading to a less stable system compared to a model with fewer parameters. This challenge can be addressed by uncovering causal...
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Dániel Berényi (Freelancer)23/05/2025, 12:00
WebGPU is a new, upcoming API to harness the power of GPUs. While there are already many competing standards on the market, WebGPU fills a particular gap in the spectrum by enabling applications to launch general compute kernels besides usual vertex and fragment shaders right in your browser. While this already opens up many possibilities for interesting applications, the fact that WebGPU is...
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Valentin Czuczumanov (99999 Informatika Kft.)23/05/2025, 14:00
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Balázs Pál (Wigner Research Centre for Physics)23/05/2025, 14:30
Everything in the Universe rotates. Expanding this principle to the Universe as a whole may seem like a natural step, yet the idea remains unexplored and is mostly dismissed as a curiosity. Recently, however, interest in this topic has gained traction, notably due to the work of Szigeti et el. (2025). In the era of precision cosmology, addressing the growing tensions within the currently...
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Anna Horváth23/05/2025, 15:00
Kaluza and Klein proposed a theory with a compactified extra dimension, which may appear in high-energy phenomena, such as nuclear reactions, strong gravitational effects, or in the presence of superdense matter. In this work, I show how astrophysical observables will be modified in the presence of extra compactified dimensions.
The interior of a compact star is modelled as a...
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Richárd Ádám Dr. Vécsey (szabadúszó)23/05/2025, 16:00Lecture
Everybody knows that machine learning models are initialized with random numbers. If we want to make our experiments reproducible, we have to use a random seed. But when and where should we use random seeds to freeze the entire environment? Sometimes, randomness occurs even when a seed is used.
I present real examples demonstrating the importance of randomness at different levels in machine...
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Christopher Grayson (Wigner Research Centre for Physics)23/05/2025, 16:30Lecture
This work investigates how integrating gold nanorods into laser targets enhances laser-driven ion acceleration. By exploiting the localized surface plasmon resonance (LSPR) of gold nanorods, we improve the coupling of femtosecond Ti:Sapphire laser pulses to the target. Numerical simulations reveal that resonant plasmonic excitations in the nanorods substantially intensify local electromagnetic...
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Bálint Tóth (University of Pannonia)23/05/2025, 17:00Lecture
Many GPU accelerated applications rely on the cuFFT library for fast and efficient Fourier transform implementations, however for certain algorithms it can be a performance limiting factor due to its strictly host-side API. Library functions cannot be called from code running on the GPU, hence unnecessary kernel launches, and host-device communication can occur when custom operations are...
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