List of participants

Jan Brandejs

Jan Brandejs is a postdoc in the group of Trond Saue specializing on tensor software and code generation for quantum chemistry applications. His main task in the ERC advanced project HAMP-vQED is the creation of programming environment for elegant development of relativistic coupled-cluster methods using distributed memory tensor software for HPC platforms of today.

Paolo Bientinesi

Paolo Bientinesi is professor in High-Performance Computing, and the director of the High-Performance Computing Center North. One of Paolo's research goals is the automatic generation of algorithms and code for linear algebra operations. Together with his research group (HPAC), he has contributed many algorithms and libraries for a range of common tensor operations. hpac.cs.umu.se

Lucas Visscher

Lucas Visscher is professor in Quantum Chemistry and Multiscale Modeling at the Vrije Universiteit Amsterdam. He works on developing electronic structure methods with a focus on the description of electronically excited states. His interest in tensor operations arises from his work on coupled cluster theory and quantum computing algorithms.

André Severo Pereira Gomes

Andre Gomes is a CNRS researcher at the “Laboratoire de Physique des Lasers, Atomes et Molecules” (Lille, France). His activities focus on the development of electronic structure methods which take into account relativistic effects, electron correlation (primarily with coupled cluster theory) and environment effects (via embedding methods), and their application to simulating molecules containing heavy elements. He is one of the authors of the DIRAC code.

Trond Saue

Trond Saue is a CNRS researcher at the Laboratoire de Chimie et Physique Quantiques (Toulouse, France). His current research focuses on the accurate calculation of molecular properties using relativistic coupled cluster theory with the inclusion of QED effects. He is one of the main authors of the Dirac program.

Devin Matthews

Devin Matthews is an Assistant Professor of Chemistry at Southern Methodist University. His research interests are in electronic structure theory (primarily using coupled cluster methods), computational soft x-ray spectroscopy, tensor factorizations for reduced scaling, and high-performance computing/dense linear algebra. He is one of the authors of the CFOUR program suite.

Edward Valeev

Ed Valeev is Professor of Chemistry at Virginia Tech (Blacksburg, VA, USA). His primary research interests is the development of predictive electronic structure methods with robust control of numerical errors and reduced complexity. Motivated by the needs of such development the Valeev group has been developing a number of software components (Libint(X), TiledArray, MADNESS, SeQuant, BTAS) and as well as leading or contributing to several quantum chemistry packages. Of particular relevance to this workshop are two of such tools: TiledArray, a block-sparse tensor algebra framework for modern distributed accelerated HPC platforms, and SeQuant, a computer algebra system for tensor algebra. In concert they allow rapid composition of conventional and reduced scaling many-body methods.

 

Paul Springer

Paul Springer is an engineering manager at NVIDIA where he focuses on the development of high-performance tensor libraries (e.g., cuTENSOR) and their application to computational physics and chemistry.

Thomas Daniel Crawford

T. Daniel Crawford is a professor of chemistry at Virginia Tech and the director of the Molecular Sciences Software Institute. His research focused on response properties, especially simulations of spectra of chiral compounds. He is Deputy Editor of the Journal of Physical Chemistry.

Michał Lesiuk

Michał Lesiuk is a Assistant Professor at Faculty of Chemistry, University of Warsaw, working on development of electronic structure methods based on tensor decomposition techniques (group webpage: aesmgroup.chem.uw.edu.pl).

Miles Stoudenmire

Miles Stoudenmire is a Research Scientist at the Flatiron Institute Center for Computational Quantum Physics, primarily researching methods based on tensor networks and their applications. He also develops the ITensor software which aims to offer high performance, rapid prototyping and development, and a wide range of algorithms.

Anthony Scemama

HPC research engineer. Developer of quantum chemistry programs (Quantum Package, QMC=Chem, ..) and libraries (QMCkl, TREXIO, ...). scemama.githib.io

Juraj Hasik

Juraj Hasik is a postdoc at University of Zurich working on tensor network approaches to strongly-correlated systems, with focus on exotic phases in frustrated magnets. He develops peps-torch library for treatment of two-dimensional lattice models and YASTN for abelian-symmetric tensors with automatic differentiation.

Oguz Kaya

Oguz Kaya is an assistant professor at Université Paris-Saclay, UFR Sciences d'Orsay. His research focuses on high performance sparse and dense tensor computations, task-based heterogenous parallelism, combinatorial scientific computing, and mixed-precision algorithms.

Ido Niesen

Ido Niesen is CTO of Fermioniq (fermioniq.com) -- a Dutch startup that develops tensor network tools for quantum computing and quantum simulation. Ido has a background in tensor networks (iPEPS), condensed matter physics and quantum algorithms.

Alejandro Gallo

Alejandro Gallo is a postdoctoral researcher at the Technical University of Vienna working on many body theories for solid state systems. In particular he is focused in the implementation and application of coupled-cluster massively parallel methodologies for exascale computing systems.

Kalman Szenes

Kalman Szenes is a PhD student in the group of Markus Reiher at ETH Zurich. His focus is on the development of tensor network methods for electronic structure calculations in our open-source software QCMaquis.

Nicolas Renon

CTO of Toulouse University Computing Center.

Pierre-Francois Loos

CNRS senior research at the Laboratoire de Chimie et Physique Quantiques in Toulouse (France) interested in electronic structure theory & excited states

Justin Turney

Justin Turney is a Senior Research Scientist the University of Georgia in the Center for Computational Quantum Chemistry. His research focuses on theory and code development applicable to combustion related reactions.

Marco Trenti

Marco Trenti works as the Development and Research Lead at Tensor AI Solutions GmbH focusing on Tensor Network Methods for explainable AI. He got his master of science in Physics at University of Padua where he implemented a Tree Tensor Network algorithm for fast event classification in CERN. Currently he pushes code and research, on Tensor Networks, supervising many master thesis at Ulm University, and applying the results to different academic/industry problems (e.g. object detection, embedded systems, quantum computing ..).

Alexandros Nikolaos Ziogas

Alexandros Nikolaos Ziogas is a postdoctoral researcher at the Integrated Systems Laboratory (IIS) of ETH Zurich. His main research interests lie in programming models for HPC applications, performance modeling, and performance optimization. He is a main author of the Data-Centric (DaCe) parallel programming framework and the NPBench Python benchmark suite.

 

Edward Stow

Edward is a Phd Student at Imperial College London, the main focus of his research is compiler driven data layout optimisations to exploit structured sparsity in tensor contractions.

 

Ors Legeza

Örs Legeza is a professor at Wigner Research Centre for Physics and a Hans Fischer Senior Fellow at the Institute for Advanced Studies at the Technical University of Munich. His research interests focus on the development of novel tensor network state (TNS) methods and their application to strongly correlated quantum many-body systems to simulate and study magnetic properties in solid states, exotic quantum phases, complex molecular clusters, ultracold atomic systems, and nuclear structures. For the method development he combines established methods for simple networks (MPS, MERA, tensor trees) with concepts from quantum information theory and computational mathematics to push the current frontier of moderate system size to much larger and more complex systems via simulations on high performance computing infrastructures.

Boris Ponsioen

Boris Ponsioen is CSO of Fermioniq, focusing on tensor network methods for approximate classical emulation of quantum computing, and formerly postdoctoral researcher in the group of Philippe Corboz at the University of Amsterdam, working on two-dimensional (iPEPS) methods for simulating strongly correlated quantum physics. His experience mainly concerns topics like ground-state optimization and excitations with iPEPS, automatic differentiation, high-performance GPU acceleration and block-sparse symmetric tensor operations.

Paul Kelly

Paul Kelly leads the Software Performance Optimisation group at Imperial College London. His research focus is domain-specific program optimisation, leading to close engagement with colleagues in computational science, robotics and computer vision. He been the compiler technology specialist in collaborations on the Firedrake, Devito, PyFR and OP2 projects, automating code generation for solving PDEs.

Alexander Heinecke

Alexander Heinecke studied Computer Science and Finance and Information Management at Technische Universität München, Germany. In 2010 and 2012, he completed internships in the High Performance and Throughput Computing team at Intel, Munich, Germany and at Intel Labs Santa Clara, CA, USA, working on the Intel MIC architecture. In 2013 he finished his Ph.D. studies at Technische Universität München, Germany. He joined Intel's Parallel Computing Lab in Santa Clara, CA, USA in 2014 as Research Scientist. His core research field is in building a deep knowledge of hardware-aware multi/many-core computing in scientific computing and deep learning. Applications under investigation are complexly structured, normally adaptive, numerical methods which are quite difficult to parallelize. Special focus is hereby given to deep learning primitives such as CNN, RNN/LSTM, Transformers & MLPs and as well to their use in applications ranging from various ResNets to GPTs in GenAI.

Yann Damour

Yann Damour is a PhD student working on the development and the implementation of methods for ground and excited states. ydrnan.github.io/damour/

Christopher Millette

Chris Millette is a technical lead and development manager at AMD that focuses on implementing GPU libraries for matrix multiplication and tensor primitives. He is a principal contributor to rocWMMA and hipTensor projects for the ROCm software stack, and is highly interested in accelerating applications via instruction and data-level parallelism.

Stefano Carignano

Stefano Carignano is a researcher in the Quantic group at the Barcelona Supercomputing Center, with research interests at the boundary between particle, nuclear and condensed matter physics. He is currently working on tensor network algorithms aimed at the study of the dynamics of many-body quantum systems, as well as their possible applications for numerical physics.

 

Bert de Jong

Bert de Jong is the Department Head for Computational Sciences, leads the Applied Computing for Scientific Discovery Group, and is the director of the National Quantum Initiative Quantum Systems Accelerator Center. His research interests range from the application and development of scalable computational chemistry methods and software, for HPC and quantum computing, and the development of AI methods for chemistry and materials research.

Navjot Singh

Navjot is a PhD student advised by Edgar Solomonik. His research focuses on devising accurate and scalable numerical optimization and approximation methods for low rank tensors. Currently, he is interested in developing software kernels for distributed-memory sparse tensor computations.

Per Sehlstedt

Master's student in engineering physics with focus and interest in numerical computing. Prospective PhD student of Paolo Bientinesi.