Blogs on High Performance Computers (HPC)

00 Blog Gerlach Thore Qubolite Anleitung - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

qubolite: A Toolbox for Working with QUBO

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....

|Darstellung der Shapley-Werte zur Erklärung von Merkmalen der Eingabedaten. Die Gatter nehmen dabei die Position von „Spielern“ in einem Koalitionsspiel ein.|Modifizierte Quantenschaltung zur Bestimmung der Beitrag der einzelnen Gatter.

Research

Explaining Gates in Quantum Circuits with Shapley Values

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....

00 Blog Gerlach Evo Annealer neu - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Application

Preparing for the quantum age with the IAIS Evo Annealer

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....

00 Blog Muecke Maschinelles Lernen - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Research

Quantum random numbers in Machine Learning

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....

Research

Evolutionary Optimization of Quantum Circuits

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....