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Hi there 👋

I'm Moritz and i work at the qunatum computing group at the Fraunhofer Institute for Manufacturing Engineering and Automation in Stuttgart. Together we released a quantum machine learning package called sQUlearn, which you should definetly check out. I'm currently reading into and learning about geometric quantum machine learning. If I have the time, I also like to partake in fun challenges like Qiskit's Fall Challenge, Pennylane's Code Camp and Advent of Code.

My Badges 🎖️

IBM Quantum Challenge Fall 2022 Achievement - Advanced IBM Quantum Spring Challenge 2022 Achievement IBM Certified Associate Developer - Quantum Computation using Qiskit v0.2X IBM Quantum Challenge - Fall 2021 - Advanced

Pennylane Code Camp 2022

Explorer Adventurer Pioneer

Moritz's Projects

aoc21 icon aoc21

Solutions to Advent of Code 2021

aoc22 icon aoc22

My Solutions to Advent of Code 2022

netket icon netket

Machine learning algorithms for many-body quantum systems

pennylane icon pennylane

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

qbsolv icon qbsolv

Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)

squlearn icon squlearn

sklearn interface for quantum algorithms

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