BlogBasics Thoughts about the Nobel Prize in Physics 2024 … Prof. Dr. Christian Bauckhage, 23. October 2024 The 2024 Nobel Prize in Physics has been awarded to John Hopfield and Geoffrey Hinton for research in artificial intelligence. Find out what is behind this decision....
BlogResearch qubolite: A Toolbox for Working with QUBO Thore Gerlach, 31. January 2024 Quadratic unconstrained binary optimization (QUBO) problems appear in many different domains such as Machine Learning and Data Mining. We present our light-weight and feature-rich Python package qubolite for working with QUBO....
BlogResearch Explaining Gates in Quantum Circuits with Shapley Values Sascha Mücke, 22. March 2023 By applying Shapley values to quantum computing, Lamarr scientists seek to explain the role of specific gates in a quantum circuit and give insights into how quantum machine learning models work....
BlogApplication Preparing for the quantum age with the IAIS Evo Annealer Thore Gerlach, 02. November 2022 The IAIS Evo Annealer is a bridging technology for Quantum Computing. With its energy efficiency and the ability to solve large mathematical problems, it can already be used in practice....
BlogResearch Quantum random numbers in Machine Learning Sascha Mücke, 27. October 2021 Due to their stochastic behavior, qubits (quantum bits) can be used as a source of (true) random numbers in Machine Learning. ML2R (now the Lamarr Institute) researchers investigated the use of quantum random numbers to initialize Machine Learning models....
BlogResearch Evolutionary Optimization of Quantum Circuits Sascha Mücke, 12. May 2021 Evolutionary optimization is a real alternative to gradient-based methods, as it can be used more flexibly in different application scenarios. Lamarr researchers used evolutionary algorithms to optimize quantum computer circuits....
