Beatriz Grafulla-González is a Research Manager at Ericsson Research in Stockholm. She focuses on new computing paradigms that could contribute to the next generations of mobile networks. In this subject, she has recently started developing an interest for Quantum Computing and its applicability to the telecom domain. She received her PhD in Engineering and Physical Sciences from Heriot-Watt University (Edinburgh, UK) in 2007 and her Master's degree as Telecommunications Engineer from both Escuela Técnica Superior de Ingenieros de Telecomunicación (Madrid, Spain) and Ecole Nationale Supérieure des Télécommunications de Bretagne (Brest, France) in 2003.

Muhammad Asad Ullah is an Experienced Researcher of quantum computers at Ericsson Research since 2022. He holds a Doctorate Degree from Kyung Hee University, for his work on "Quantum Synchronization and Consensus for Quantum Network". Prior to that, he received his B.E. degree from the National University of Sciences and Technology, Pakistan. Asad is the author of 7 patents and has published around 22 peer-reviewed contributions. His research interests include distributed quantum systems and quantum machine learning.

MSc Mats Tholen has a masters degree in electrical engineering and computer science from Linköping University. He has decades of experience working in various industries with low-level programming of FPGAs. He is currently pursuing an industrial PhD in quantum engineering within the Wallenberg Center for Quantum Technology (WACQT). His main focus is the development of a microwave platform for the control and readout of superconducting quantum processors.

Satvik Maurya is a third-year Ph.D. student in Electrical and Computer Engineering at the University of Wisconsin-Madison, where he is working with Prof. Swamit Tannu. His research focuses on designing efficient and scalable control architectures for quantum computers. He was awarded the Hiran Mayuk award in 2022, and his recent works have appeared at ISCA and MICRO.

Stephan Wong is an associate professor in the Quantum and Computer Engineering department of the Delft University of Technology,, The Netherlands His main research interest has always been reconfigurable computing. In recent years, he has worked in the field of in-memory computing, in particular the design of microarchitectures for memory arrays using non-volatile emerging technologies, such as memristors. More recently, he started work on designing microarchitectures for diamond-based quantum computers and in this area, FPGAs can play a large role - in both prototyping, but also utilising FPGAs at cryogenic temperatures. In this talk, he will address the current challenges and opportunities within this area of research.

Lukas Scheller holds a bachelor's degree in computer engineering from the University of Stuttgart and a master's degree in electrical engineering focusing on System-on-Chip from the Karlsruhe Institute of Technology (KIT). Since 2022, Lukas has been a PhD student in electrical engineering and information technology at KIT. He is currently part of the SDR research group that specializes in designing instruments for interfacing superconducting qubits and superconducting quantum sensors. The group designed a platform named QiController where the hardware, FPGA firmware, and software are all in-house developments. As a PhD candidate, Lukas's research aims to expand the existing qubit control platform to facilitate multi-qubit applications within the framework of the QSolid and the QBriqs projects, both funded by the German Ministry of Education and Research.

Dr. Miyoshi received his Ph.D. from the Interdisciplinary Graduate School of Science and Engineering at Tokyo Institute of Technology in 2007. He is a Director at e-trees.Japan, Inc. and an Adjunct Associate Professor at the Center for Quantum Information and Quantum Biology at Osaka University. Dr. Miyoshi is also one of the founders of QuEL, Inc., where he works as the CTO. His research interests are reconfigurable system, computer architecture, compiler, and quantum computing.

Xiaorang Guo received his M.Sc. degree in electrical engineering from Technische Universität Dresden in 2022. He is currently a Ph.D. candidate in computer science at Technical University of Munich, supervised by Prof. Martin Schulz. His current work focuses on quantum control processor architecture, FPGA programming, and digital circuit design.

Gilbert Netzer received a M.Sc.Eng. in Computer Science from KTH Royal Institute of Technology in Stockholm, Sweden in 2015 and is currently pursuing Ph.D.-studies at the same university.  Since 2006 he is also working at PDC, the center for high-performance computing at KTH with HPC operations and exploring emerging technologies, both hardware and programming models, for HPC in a number of EU projects including PRACE, CRESTA, and EPiGRAM-HS.  His current research focus is in the area of low-level programming languages and tools for quantum computing.

Mats Granath is an associate professor of physics at the University of Gothenburg. He has a background in condensed matter physics, working on strongly correlated electron systems, magnetism and high temperature superconductivity. Recent research is focused on quantum computing and quantum error correction, as well as applications of deep learning to problems in physics and engineering. He is affiliated with the Wallenberg Centre for Quantum Technology (WACQT), and the director of the master’s program in complex adaptive systems at Chalmers.

Alessio Cicero is currently a Ph.D. candidate in computer science and engineering at Chalmers University of Technology. He received his M.Sc. degree in electronic engineering from Politecnico di Torino in 2023. His current research focus is quantum simulation acceleration and quantum computer interfacing.

Javier Serrano is a Postdoctoral Researcher at the Quantum Research Center (TII). Having previously served as an Associate Professor at the Universitat Autonoma de Barcelona (currently on leave), Javier has made significant contributions in multiple areas. His past research endeavors have spanned a wide scope, including model-based predictive control, language technologies, and deep learning applications in eHealth. Presently, Javier's primary focus lies in the field of quantum computing. He is actively involved in cutting-edge research, specifically in the development of middleware for controlling and measuring transmon qubits using RFSoC/FPGA.  His multidisciplinary background and expertise position him at the forefront of groundbreaking research, shaping the future of quantum computing and its potential applications.

Pedro is a Professor at the Department of Computer Science and Engineering and the director of the Masters programme on High-Performance Computer systems (MPHPC) of the Chalmers University of Technology, Sweden. His research interests are in computer architecture (memory hierarchy, multicore processors, reconfigurable computing, and energy efficiency) with focus on the hardware acceleration for machine learning applications and quantum computing. He is currently actively collaborating in several EU and local Swedish research projects among which is the QuantumStack project which goal is to develop the different layers of the stack to improve the programmability for Quantum Computers. 

Martin is a Full Professor and Chair for Computer Architecture and Parallel Systems at the Technische Universität München (TUM), which he joined in 2017, as well as a member of the board of directors at the Leibniz Supercomputing Centre. His research interests include parallel and distributed architectures and applications; performance monitoring, modeling and analysis; memory system optimization; parallel programming paradigms; tool support for parallel programming; power-aware parallel computing; and fault tolerance at the application and system level, as well as quantum computing and quantum computing architectures and programming, with a special focus on HPC and QC integration. He was a recipient of the IEEE/ACM Gordon Bell Award in 2006 and an R&D 100 award in 2011.