Ben works closely with the Quantum Software team at Xanadu and supports the many external collaborations and projects that Xanadu engages in. Before joining Xanadu, Ben completed his PhD in experimental condensed matter physics at the University of Toronto studying metallic systems with unconventional behaviours.

Korbinian is interested in quantum simulation and open source software. At Xanadu, he is doing software-driven research that feeds into our research-driven software PennyLane. Getting Started with Pennylane Friday 13th June 10:30 - 11:30 ET

Andreea-Lulia is a researcher and doctoral candidate at Leibniz University Hannover, benchmarking and designing quantum algorithms for fault-tolerant quantum computers. She has a background in physics and maths, coupled with computer science. Andreea-lulia is also the founder & CEO of innovailia, a Germany-based company and spin-off from Leibniz Universität Hannover’s BMBF project QuBRA.

Pedro is a quantum senior researcher at BQP Psy, honorary fellow at Macquarie University and consultant in ContinoQuantum researching quantum algorithms, particularly algorithms for differential equations, chemistry simulation, and optimization.

Nana Liu is an associate professor and PI of the Quantum Information and Technologies (QIT) group Shanghai Jiao Tong University She received her PhD from the University of Oxford as a Clarendon Scholar and is a 2019 recipient of the MIT Technology Review’s 10 Innovators under 35 in the Asia-Pacific region. Her research focus is on employing quantum resources for quantum computation, with a current focus on quantum algorithms for scientific computing.

Dr. Amrit Chhetri is a seasoned technologist and thought leader with over 24 years of multidisciplinary experience across system design, cybersecurity, digital forensics, AI/ML, deep tech, and quantum computing. As a Digital Forensics Scientist and Senior Consultant & Architect, Dr. Chhetri is known for advancing cutting-edge technologies while championing security, ethics, and innovation. Specializing in quantum-safe security as a Quantum Cognition Scientist, Dr. Chhetri works at the forefront of one of today’s most critical digital frontiers. He is the recipient of the Cyber Defender Award 2022 from the Information Security Forum (ISF) and has been recognized for his contributions to digital forensics and as a CSOC Guest Speaker for the APAC region. Dr. Chhetri is the Founder of Quantum Research Labs and Digital Forensics Labs, where he leads pioneering research and development. He also plays a key role in global cybersecurity communities as an Executive Member of both the Internet Society (Kolkata Chapter) and the Cloud Security Alliance. In addition to his technical work, Dr. Chhetri is a dedicated mentor and educator, actively shaping the next generation of experts through his publications and course design. He contributes to QWorld initiatives, including QEducation and the Quantum Research & Curriculum Lab (QRCL), developing graduate and postgraduate programs that prepare learners for the future of secure, intelligent systems.

Michael is a researcher at Quantinuum, focusing on computational fluid dynamics and quantum algorithms for industry applications. Before joining Quantinuum, he completed a postdoctoral fellowship at the University of Oxford, where his work centered on quantum algorithms and tensor-network methods for solving nonlinear partial differential equations. He holds a PhD in Physics from the Max Planck Institute of Quantum Optics, where he conducted research within the Theory Division.

Andrew Childs is a professor in the Department of Computer Science and the University of Maryland Institute for Advanced Computer Studies (UMIACS). He was a co-director of QuICS from 2014-2024, and is the director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation. Childs's research interests are in the theory of quantum information processing, especially quantum algorithms. He has explored the computational power of quantum walk, providing an example of exponential speedup, demonstrating computational universality, and constructing algorithms for problems including search and formula evaluation. Childs has also developed fast quantum algorithms for simulating Hamiltonian dynamics. His other areas of interest include quantum query complexity and quantum algorithms for algebraic problems. Before coming to UMD, Childs was a DuBridge Postdoctoral Scholar at Caltech from 2004-2007 and a faculty member in Combinatorics & Optimization and the Institute for Quantum Computing at the University of Waterloo from 2007-2014. Childs received his doctorate in physics from MIT in 2004.

Dr. Amit Surana is currently a Principal Technical Fellow at RTX Technology Research Center (RTRC) and has 16+ years of R&D experience in the areas of nonlinear dynamical systems and controls, machine learning, autonomy, and quantum computing with broad range of applications in aerospace and defense. He has authored 80+ peer reviewed publications and has 10 patents granted and 20+ patents pending. He has won several awards/honors including Padmakar P. Lele Outstanding Research and Thesis Award at MIT, RTRC’s Technical Excellence Award, and Grainger Grant by the Grainger Foundation and National Academy of Engineering. He is a member of Connecticut Academy of Science and Engineering and IEEE Senior member. Dr. Surana received a B.Tech. in Mechanical Engineering from Indian Institute of Technology Bombay in 2000, his M.S. in Mechanical Engineering and M.A. in Mathematics both from Pennsylvania State University in 2002 and 2003, respectively, and his Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 2007.

Dong is an Assistant Professor at Beijing International Center for Mathematical Research (BICMR). He has worked as a Hartree Postdoctoral Fellow at Joint Center for Quantum Information and Computer Science (QuICS), University of Maryland, in 2021-2024, and received his Ph.D. in Applied Mathematics from University of California, Berkeley in 2021.

Guillermo is a quantum scientist specializing in Quantum Machine Learning (QML) and Algorithms with experience as an educator in quantum computing.

Mario is a pioneering computer scientist known for his foundational contributions to computational complexity theory, quantum computing, and data streaming algorithms. He is a two-time Gödel Prize winner (2001, 2005) for breakthroughs in probabilistically checkable proofs and space-efficient algorithms for data streams. His work has also earned the Paris Kanellakis Theory and Practice Award (2019) and the Test of Time Award at the 2021 IEEE Foundations of Computer Science Conference. Mario holds a Ph.D. in computer science from the University of Chicago and has held research positions at Bell Labs and the Hebrew University of Jerusalem.