10 citations · 11 across the 4 of their papers we have counts for
4 papers
Agentic Exploration of Physics Models
Maximilian Nägele, Florian Marquardt
The process of scientific discovery relies on an interplay of observations, analysis, and hypothesis generation. Machine learning is increasingly being adopted to address individua…
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Maximilian Nägele, Jan Olle, Thomas Fösel +2
Markov decision processes (MDPs) are used to model a wide variety of applications ranging from game playing over robotics to finance. Their optimal policy typically maximizes the e…
Optimizing ZX-Diagrams with Deep Reinforcement Learning
Maximilian Nägele, Florian Marquardt
ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor netw…
Effective non-local parity-dependent couplings in qubit chains
Maximilian Nägele, Christian Schweizer, Federico Roy +1
For the efficient implementation of quantum algorithms, practical ways to generate many-body entanglement are a basic requirement. Specifically, coupling multiple qubit pairs at on…