Registration

Welcome Address

Talk 1 - Maxim Mai (University of Bern, Switzerland): Approaches to low-energy QCD in a cross talk of EFTs and Lattice QCD Robust accessing of low-energy QCD is necessary to understand the mass generation and emergence of spectrum of excited hadrons in nature. So far two approaches have crystallized to this goal, both, however, having own strengths and weaknesses. A combination of both approaches provides a path to salvage the former, and mitigate the latter. Indeed, this synergetic approach provides a path to better understanding the low-energy structure of QCD by not only comparing the first-principles predictions with experimental observations but even going beyond this, allowing to study experimentally not accessible regimes. In my lectures, I will show basic principles behind these approaches and some hands-on applications thereof.

Talk 2 - Gurtej Kanwar (University of Edinburgh, UK): Machine learning methods for Monte Carlo sampling In these lectures, I will discuss modern machine learning approaches to accelerate Monte Carlo sampling in lattice field theories. The core theme will be connecting to the idea of measure transport through (learned) deterministic and stochastic transformations.

Talk 3 - Arnab Sen (Indian Association for the Cultivation of Science, India): Monte Carlo for lattice field theories In these lectures, I will first motivate the equivalence of lattice field theories in Euclidean time to statistical mechanics models, and establish a dictionary between the two. I then discuss the general idea of Monte Carlo sampling in a class of models and finally focus on two interacting models in d dimensions as examples, a phi 4 theory and an Ising model. I explain the extraction of low lying masses using correlation functions and critical exponents at criticality using finite size scaling through these examples.

Talk 4 - Srijit Paul (University of Maryland, USA): The Anatomy of a Lattice Measurement We discuss how one goes from gauge configurations generated from Monte Carlo towards making a measurement to compute a physical observable. We elaborate on each step starting from relevant operators, propagator computations which are then contracted to obtain the final n-point correlation function. At every step, we tackle computational and analytical challenges using novel methods and techniques developed by the lattice community. As an example measurement, we discuss in particular proton and wilson loops, and finally a reliable extraction of a finite volume spectrum relevant for hadron spectroscopy.

Talk 5 - Maxim Mai (University of Bern, Switzerland): Approaches to low-energy QCD in a cross talk of EFTs and Lattice QCD Robust accessing of low-energy QCD is necessary to understand the mass generation and emergence of spectrum of excited hadrons in nature. So far two approaches have crystallized to this goal, both, however, having own strengths and weaknesses. A combination of both approaches provides a path to salvage the former, and mitigate the latter. Indeed, this synergetic approach provides a path to better understanding the low-energy structure of QCD by not only comparing the first-principles predictions with experimental observations but even going beyond this, allowing to study experimentally not accessible regimes. In my lectures, I will show basic principles behind these approaches and some hands-on applications thereof.

Talk 6 - Gurtej Kanwar (University of Edinburgh, UK): Machine learning methods for Monte Carlo sampling In these lectures, I will discuss modern machine learning approaches to accelerate Monte Carlo sampling in lattice field theories. The core theme will be connecting to the idea of measure transport through (learned) deterministic and stochastic transformations.

Talk 7 - Arnab Sen (Indian Association for the Cultivation of Science, India): Monte Carlo for lattice field theories In these lectures, I will first motivate the equivalence of lattice field theories in Euclidean time to statistical mechanics models, and establish a dictionary between the two. I then discuss the general idea of Monte Carlo sampling in a class of models and finally focus on two interacting models in d dimensions as examples, a phi 4 theory and an Ising model. I explain the extraction of low lying masses using correlation functions and critical exponents at criticality using finite size scaling through these examples.

Poster Session (With Coffee break)

Talk 8 - Srijit Paul (University of Maryland, USA): Machine Learning in Measurements We summarize the recent machine learning efforts to tackle the computational and analytical challenges one faces in performing a lattice measurement. We start with direct methods which take in configurations and try to predict the final physical observable/correlator. Next, we briefly touch upon ML methods to perform inversions. Finally we elaborate on various noise reduction and computational effort reduction strategies using ML techniques.

Talk 9 - Christian Schmidt (Bielefeld University, Germany): Lattice Fundamentals and equation of state After a short motivation for lattice methods in general, I will introduce the fermionic path integral and discuss fermionic cutoff effects at finite temperature. I will then discuss a lattice calculation of the equation of state at zero chemical potential and its connection to perturbation theory at high temperature and to the hadron resonance gas at low temperature

Talk 10 - Emilie Huffman (Wake Forest University, USA): Introduction to Quantum Computing This is an introductory lecture for the elements of quantum computing. We'll begin with classical bits and possible reversible operations on them, and then extend the discussion to quantum bits, introducing as well measurement, circuit diagrams, and finishing with an example of measuring an energy for a simple Hamiltonian.

Talk 11 - Jesse Stryker (Lawrence Berkeley National Laboratory, USA): Bridging quantum computing and quantum field theory This lecture presents a complementary perspective and continuation from the earlier lecture by Prof. Huffman. First I discuss motivations for quantum computation from the viewpoint of a lattice field theory practitioner. Then I review more fundamental concepts in quantum computation, including entanglement and magic.

Talk 12 - Jishnu Goswami (RIKEN Advanced Institute for Computational Science, Japan): Strangeness Correlations and QCD Material Parameters (HISQ) This lecture develops the lattice definitions and computation of strangeness fluctuations and cross-correlations $(\chi_2^S,\chi_{11}^{BS},\chi_{11}^{QS})$ together with baryon-number skewness/kurtosis $(\chi_3^B,\chi_4^B)$ and ratios $S\sigma, \kappa\sigma^2$. Emphasis is on the HISQ pipeline (Taylor expansion, continuum extrapolation ) and how to interpret the temperature and chemical potential trends relevant to fluctuation measurements at RHIC.

Poster Session

Talk 13 - Christian Schmidt (Bielefeld University, Germany): Cumulants of conserved charge fluctuations and the QCD phase diagram I will introduce Taylor coefficients of the pressure and discuss their interpretation in terms of conserved charge fluctuations. I will further show how they can be used to explore the QCD phase diagram at nonzero temperature and density with emphasis  on the chiral transition and the QCD critical point.

Talk 14 - Emilie Huffman (Wake Forest University, USA): Hamiltonian Lattice Field Theories and Variational Eigensolver Algorithms Continuing on with the Hamiltonian Field theories introduced in the previous lecture, we consider different ways of getting a finite-dimensional Hilbert space. We discuss the Schwinger model and how to simulate fermions with the Jordan-Wigner transformation, and finally we consider quantum link models and the application of both VQE/VQD and QAOA to find the ground state and first-excited state to an SO(3)-symmetric quantum link model.

Talk 15 - Jesse Stryker (Lawrence Berkeley National Laboratory, USA): Applications in quantum simulation Quantum-circuit decompositions for time evolution and state preparation are presented. Time evolution for the lattice Schwinger model is decomposed by Trotterization in the Schwinger model, and wave-packet preparation is decomposed for the related Z(2) theory by using the method of Davoudi, Hsieh, and Kadam (arXiv:2402.00840).

Talk 16 - Jishnu Goswami (RIKEN Advanced Institute for Computational Science, Japan): Thermodynamics with Möbius Domain-Wall Fermions at Finite $T$ and $\mu$ A pedagogical walk-through of finite-$T$, small-$\mu$ thermodynamics with MDWF: action choices, chiral symmetry, and practical estimators for conserved-charge cumulants. We outline noise/systematics control and continuum estimation, and contrast with HISQ to highlight where exact chiral symmetry refines fluctuation observables of interest to heavy-ion phenomenology.

Talk 17 - Christian Schmidt (Bielefeld University, Germany): Universal scaling fits I will perform a hands-on exercise of a chiral scaling fit to HotQCD data using a well known parametrization of the universal scaling function of the order parameter. From the fit we extract the chiral phase transition temperature.

Talk 18 - Srijit Paul (University of Maryland, USA): School Summary We summarize the discussions and interesting outcomes of the school with regards to ML in lattice QCD and hadron spectroscopy.