Organizers: Tobias Haug (TII, UAE), Caroline Robin (Bielefeld University , Germany), Emanuele Tirrito (ICTP, Trieste, Italy), and Xhek Turkeshi (University of Cologne, Germany)

The “Workshop on Many-Body Quantum Magic” aims to delve into the complex and fascinating resource of nonstabilizerness, or “magic,” a vital and expensive resource for quantum computation that enables quantum computers to surpass classical systems.

Recent progress in measuring and analyzing magic now allows for discussing the generation, manipulation, and quantification of magic in extensive quantum systems, directly informing strategies to reduce runtime overhead in quantum computing and quantum simulation. In addition, understanding magic in quantum many-body systems, its interplay with entanglement and relations with physical phenomena, provide new fundamental insights on the structure and dynamics of matter, and can guide the development of new methods and algorithms that are computationally more efficient.

This workshop aims to bring together leading researchers in various fields of quantum information, quantum computing, quantum simulation and many-body physics to foster discussions and collaborations on topics related to magic, and to develop strategies for accelerating the development of quantum computers and high-priority simulations through magic-centric optimizations.

Subjects to be explored include: 1) the magic of quantum many-body systems and interplay with entanglement; 2) Resource theory of magic; 3) Resource cost of (quantum) algorithms; 4) Experimental study of magic; 5) (Quantum) algorithms for generating, learning, and certifying magic; 6) Magic of (fault-tolerant) quantum computers and simulators.

Format and scope: The workshop will have a lightly-planned schedule, with ~ three talks per day and plenty of time for interaction and collaboration between participants. In addition, there will be focussed “rump sessions” throughout both weeks.

Workshop Participants: Sam Alterman (Tufts University), Yuto Ashida (University of Tokyo, Japan), Nikita Astrakhantsev (Google AI), Benjamin Beri (University of Cambridge, UK), Michael Beverland (IBM), Jiunn-Wei Chen (National Taiwan University, Taiwan), Mario Collura (SISSA, Italy),  Stefano Cusumano (University of Naples Federico II, Italy),   Rosario Fazio (ICTP, Trieste, Italy), Henry Froland (IQuS), Sasha Geim (Harvard University), Soumik Ghosh (University of Chicago),  Dorota Grabowski (IQuS), Sebastian Grieninger  (IQuS), Andrew Hallam (University of Leeds, UK),  Michael Hanks (Imperial College London, UK),  Tobias Haug (Technology Innovation Institute, UAE),  Zoe Holmes (EPFL, Switzerland),  Liang Jiang (University of Chicago), David Korbany (University of Bologna, Italy), Nikolaos Koukoulekidis (Duke University),  Tristan Kraft (Technical University Munich, Germany),  Brad Lackey (Microsoft),  Guglielmo Lami (CY Cergy Paris Université, France),  Lorenzo Leone ( Freie Universität Berlin, Germany),  Zhiyao Li (IQuS), Peter Love (Tufts University),  Sergi Masot (Barcelona Supercomputing Center, Spain),  William Munizzi (University of California, Los Angeles),  Salvatore F.E Oliviero (Scuola Normale Superiore di Pisa, Italy),  Francesco Pederiva (University of Trento, INFN, Italy),  Sarah Powell (IQuS), Arnau Rios (University of Barcelona, Institute of Cosmos Sciences, Spain), Caroline Robin (Bielefeld University, Germany),  Manuel Rudolph (EPFL, Switzerland),  Martin Savage (IQuS), Piotr Sierant (Barcelona Supercomputing Center, Spain),  Poetri Tarabunga (Technical University of Munich, Germany),  Emanuele Tirrito (ICTP, Trieste, Italy),  Matthias Troyer (Microsoft),  Xhek Turkeshi (University of Cologne, Germany), Xiaojun Yao (IQuS), Owen Young (IQuS), Kyle Wendt (Lawrence Livermore National Laboratory), Chris D. White (Naval Research Laboratory), Christopher White (Queen Mary University of London, UK), Yuzhen Zhang (UC Santa Barbara).