What is this collection about?

Quantum technologies rely on intrinsically non-classical resources, yet the respective roles of entanglement, magic and related resources in enabling quantum computation and simulation remain incompletely understood.

Clarifying how these resources determine classical simulability, computational complexity and quantum advantage is essential for defining the boundary between classical and quantum regimes and for understanding both the power and the limitations of emerging quantum devices.

This Collection aims to explore the role of quantum resources, such as entanglement and magic, in advancing computational and simulation capabilities. We welcome original research, perspectives, and reviews that deepen our understanding of these resources.

Why submit to a collection?

Collections like this one help promote high-quality science. They are led by Guest Editors and In-House Editors who are experts in their fields and supported by a dedicated team of Commissioning Editors and Managing Editors at Springer Nature. Collection manuscripts typically see higher citations, downloads, and Altmetric scores, and provide a one-stop-shop on a cutting-edge topic of interest.

Who is involved?

Leonardo Banchi, PhD, University of Florence, Italy

Leonardo Banchi is an Associate Professor at the University of Florence. Before he was working for Xanadu Inc. and conducted postdoctoral work at Imperial College, University College London and ISI Foundation. Currently his main interests are on foundational aspects of quantum machine learning, in particular the application of techniques from information theory and quantum statistical physics to explain when a problem is easy to learn using quantum hardware.

Fernando Gómez-Ruiz, PhD, Universidad Carlos III de Madrid, Spain

Fernando J. Gómez-Ruiz is an Assistant Professor at Universidad Carlos III de Madrid. He previously held postdoctoral positions at the Donostia International Physics Center (DIPC), the Instituto de Física Fundamental, CSIC, and the Universidad de Valladolid, and completed his PhD at Universidad de los Andes (Colombia), including a visiting appointment at UMass Boston. His research focuses on non-equilibrium quantum physics and its connections to quantum technologies, with contributions to the Kibble-Zurek mechanism, suppression and statistics of topological defects, quantum many-body dynamics, quantum optics, and quantum information processing. 

Xin Wang, PhD, The Hong Kong University of Science and Technology (Guangzhou), China

Xin Wang is an Associate Professor in the Thrust of Artificial Intelligence at The Hong Kong University of Science and Technology (Guangzhou), with research focusing on quantum information, quantum computation, and quantum artificial intelligence. He previously worked at Baidu Research, where he led the development of Paddle Quantum, and was a Hartree Fellow at the Joint Center for Quantum Information and Computer Science at the University of Maryland. Dr. Wang earned his Ph.D. from the University of Technology Sydney in 2018 and received the prestigious Chancellor’s Outstanding Thesis Award. He has published over 100 papers in top-tier journals and conferences, delivered numerous invited and oral presentations at leading quantum computing and AI conferences, and was invited to give a keynote speech at TQC in 2020.

Qi Zhao, PhD, The University of Hong Kong, China

Dr. Qi Zhao received his bachelor’s and PhD degrees from Tsinghua University in 2014 and 2019, respectively, and subsequently held postdoctoral positions at the University of Science and Technology of China and the University of Maryland QuICS as a Hartree Postdoctoral Fellow in quantum information science. He joined The University of Hong Kong as a tenure-track assistant professor in the Department of Computer Science, which is now part of the School of Computing and Data Science.

Communications Physics is edited by both in-house professional editors and Editorial Board Members. Dr Banchi, Dr  Gómez-Ruiz, Dr Wang, and Dr Zhao will act as guest editors for submissions to Communications Physics.

How can I submit my paper?

Visit the Collection page to find out more about this collection and submit your article.