research
∙
01/06/2023
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training
Applying new computing paradigms like quantum computing to the field of ...
share
research
∙
06/28/2022
Optimization of QKD Networks with Classical and Quantum Annealing
This paper analyses a classical and a quantum annealing approach to comp...
research
∙
06/24/2022
Black Box Optimization Using QUBO and the Cross Entropy Method
Black box optimization (BBO) can be used to optimize functions whose ana...
research
∙
09/22/2021
Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines
Reinforcement learning has driven impressive advances in machine learnin...
research
∙
08/09/2020
A Flexible Pipeline for the Optimization of CSG Trees
CSG trees are an intuitive, yet powerful technique for the representatio...
research
∙
04/29/2020
The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline
We discuss the synergetic connection between quantum computing and artif...
research
∙
07/30/2019
Soccer Team Vectors
In this work we present STEVE - Soccer TEam VEctors, a principled approa...
research
∙
07/11/2019
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
We propose Stable Yet Memory Bounded Open-Loop (SYMBOL) planning, a gene...
research
∙
03/15/2019
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games
We introduce Q-Nash, a quantum annealing algorithm for the NP-complete p...
research
∙
02/13/2019