SQST 2026 Main-Theme invited speakers
Speakers on quantum algorithms, quantum machine learning, and quantum information theory.
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Research Interests: Near-term quantum computing, Quantum machine learning, Applications of quantum information theory and classical learning theory to sit quantum machine learning on stronger foundations.
IBM Research - Zurich, Switzerland
Research Interests: Quantum algorithms and quantum simulations for applications in physics and materials science. Quantum machine learning and quantum technology-related architectures.
The University of Tokyo, Japan
Research Interests: Developing quantum algorithms and quantum protocols based on quantum information processing and communication. Investigating higher-order quantum operations and distributed quantum information processing.
Princeton University, USA
Research Interests: Non-equilibrium physics of collective radiation–matter systems; physical foundations of computing; and computing with physical dynamical systems.
Nanyang Quantum Hub, Nanyang Technological University, Singapore
Research interests: Quantum Information, applications for quantum computers, quantum algorithms which allow us to solve computational problems more efficiently on a quantum computer.
Independent Researcher*
Research Interests: Quantum algorithms and machine learning. Theoretical foundations of hybrid quantum-classical learning systems for quantum hardware.