Completed Student Projects

2024

  • Aaron Schulz: Machine Learning Potentials with Long Range Interaction. Masterarbeit, 2024 mehr…
  • Benedict Blaschko: Comparing Different Decomposition Methods to Approximate the Exponential Sum Bath Correlation Function. Bachelorarbeit, 2024 mehr…
  • Benjamin Classen: Towards Geometric Neural Wave-Functions. Masterarbeit, 2024 mehr…
  • Benjamin Decker: Creating a Quantum Analogue to an Arbitrary Classical Elementary Cellular Automaton. Masterarbeit, 2024 mehr…
  • Cristian Emiliano Godínez Ramírez: A Riemannian Approach to the Lindbladian Dynamics of a Locally Purified Tensor Network. Masterarbeit, 2024 mehr…
  • Erin Kërçiku: Quantum Circuit Compilation for Circuit Cutting. Bachelorarbeit, 2024 mehr…
  • Felix Griebel: Implementation of Sparse Tensor Networks Based on Quantum Number Conservation. Bachelorarbeit, 2024 mehr…
  • Hazar Çakır: Optimal Construction of Matrix Product Operators and Tree Tensor Network Operators. Studienarbeit, 2024 mehr…
  • Jeremiah Bintang Santoso: Investigation of the controlled bond expansion time-dependent variational principle for open quantum systems. Studienarbeit, 2024 mehr…
  • Madhav Menon: A Stochastic Tensor Network Approach for Non-Markovian Dissipative Dynamics of Quantum Impurity Models. Bachelorarbeit, 2024 mehr…
  • Vangelis Didaskalou: Mapping Quantum Circuits to Multiple Unrelated Backends. Bachelorarbeit, 2024 mehr…
  • Zekai Li: Decomposition Methods for Tensor Networks. Bachelorarbeit, 2024 mehr…

2023

  • Andrea de Girolamo: Hybrid tensor network contraction methods for quantum supremacy circuits. Studienarbeit, 2023 mehr…
  • Arda Nacar: Quantum Algorithms for Constraint Satisfaction Problems. Bachelorarbeit, 2023 mehr…
  • Aron Kerschbaumer: Quantum Informed Optimization Algorithms. Masterarbeit, 2023 mehr…
  • Benjamin Sappler: Benchmarking a Tensor Network Algorithm for the HOPS-Method to Simulate Open non-Markovian Quantum Sytems. Bachelorarbeit, 2023 mehr…
  • David Winderl: On the Architecture-Aware Synthesis of Pauli Polynomials. Masterarbeit, 2023 mehr…
  • Fabian Putterer: High Performance Contraction of Brickwall Quantum Circuits for Riemannian Optimization. Masterarbeit, 2023 mehr…
  • Fabian Putterer: High Performance Contraction of Brickwall Quantum Circuits for Riemannian Optimization. Studienarbeit, 2023 mehr…
  • Florian Felix Benjamin Decker: Implementation of a Classical Simulation of Quantum Cellular Automata on 1-D Lattices and using it to Improve the Tensor Network Algorithm TDVP. Studienarbeit, 2023 mehr…
  • Julien Kollmann: Using the Time Dependent Variational Principle for Tree Tensor Networks to Simulate Single-Qubit Quantum Error Correction. Masterarbeit, 2023 mehr…
  • Lorenzo Pietro Brazzi: MPI-Parallelization for QAOA in Hybrid Quantum Computing Architectures. Masterarbeit, 2023 mehr…
  • Matthias Reumann: Transpose-Free Contraction of Complex Tensors. Bachelorarbeit, 2023 mehr…
  • Mihail Stoian: On the Optimal Linear Contraction Order of Tree Tensor Networks, and Beyond. Masterarbeit, 2023 mehr…
  • Noé Delorme: Simplification of Complete Equational Theories for Quantum Circuits With and Without Ancillae. Masterarbeit, 2023 mehr…
  • Oguzcan Kırmemis: Optimization of the Hamiltonian Formulation for the Capacitated Vehicle Routing Problem. Masterarbeit, 2023 mehr…
  • Rahul Manavalan: Machine learning potentials using higher order interactions. Masterarbeit, 2023 mehr…

2022

  • Aaron Sander: A Stochastic Tensor Network Method for Simulating Open Quantum Systems. Masterarbeit, 2022 mehr…
  • Anastasia Stamatouli: Deep Generative Modelling of Microscopy Image Data. Masterarbeit, 2022 mehr…
  • Ansgar Schubert: Quantum Simulation Algorithms for Condensed Matter Physics Systems. Bachelorarbeit, 2022 mehr…
  • Ayse Kotil: Classical Optimization of Quantum Simulation Circuits. Studienarbeit, 2022 mehr…
  • Burak Mete: A Novel Approach for Solving Constrained Optimization Problems with QAOA using Encoders. Masterarbeit, 2022 mehr…
  • David Tellenbach: Canonicalization of Loop-free Tensor Networks. Masterarbeit, 2022 mehr…
  • Katjana Kosic: Introduction to Recommender Systems and their Applications. Bachelorarbeit, 2022 mehr…
  • Maximilian Karpfinger: Sign Language Translation on Mobile Devices. Masterarbeit, 2022 mehr…
  • Nishant Nigam: Uncovering potential losses using knowledge graph embeddings and link prediction. Masterarbeit, 2022 mehr…
  • Philipp Sedlmeier: Cleaning and Repairing Time Series Data. Masterarbeit, 2022 mehr…
  • Rahul Banerjee: Courant-Friedrichs-Lewy Type Conditions For Approximating Quantum Dynamics On A Digital Quantum Computer. Masterarbeit, 2022 mehr…
  • Rifa Khan: Sign Language Recognition from a webcam video stream. Masterarbeit, 2022 mehr…
  • Rohan Krishna Saxena: Learning Aerosol Features From Image Data. Projektarbeit, 2022 mehr…
  • Sreejit Dutta: A Comparative Analysis of Classical and Quantum Machine Learning Methods for Time-series Crop Parcel Reflectance Data from SENTINEL-2-Satellites. Masterarbeit, 2022 mehr…
  • Theodora-Augustina Dragan: Characteristics of Quantum Architectures in Reinforcement Learning Applications. Masterarbeit, 2022 mehr…
  • Theodora-Augustina Dragan: Quantum Kernels and Applications. Studienarbeit, 2022 mehr…
  • Varun Donadi: Unsupervised learning models for anomaly detection in manufacturing industries. Masterarbeit, 2022 mehr…
  • Victor-Constantin Stroescu: Constructing Transformations Between Pre-trained Neural Networks. Masterarbeit, 2022 mehr…
  • Zayneb Miri: Light Microscopy Image Segmentation using Gaussian Processes. Bachelorarbeit, 2022 mehr…

2021

  • Alona Sakhnenko: Hybrid Classical-Quantum Approaches for Anomaly Detection. Masterarbeit, 2021 mehr…
  • Amr Ibrahim: Machine Learning Techniques for Simulating Quantum Dynamics. Masterarbeit, 2021 mehr…
  • Ashish Khanal: Hand pose estimation and gesture detection from webcam images. Masterarbeit, 2021 mehr…
  • Ayse Kotil: Classical Reinforcement Learning using Quantum Algorithms. Bachelorarbeit, 2021 mehr…
  • Burak Mete: Hamiltonian Simulation using Quantum Autoencoders. Studienarbeit, 2021 mehr…
  • Christian Kellinger: Data Preprocessing for Sign Language Detection with Machine Learning Models. Bachelorarbeit, 2021 mehr…
  • Daniil Teplitskiy: Quantum Process Tomography of Spin Glasses via time-delayed measurements. Bachelorarbeit, 2021 mehr…
  • Darius Augsburger: Geometric Harmonics and Laplacian Pyramids. Bachelorarbeit, 2021 mehr…
  • Estefania Tealdo Baffi: Approximation of Linear Operators with Neural Networks. Masterarbeit, 2021 mehr…
  • Fabian Putterer: Optimization of Quantum Circuits using Diagrammatic Calculi. Studienarbeit, 2021 mehr…
  • Iremnur Kidil: Neural Networks Solving Linear Systems. Bachelorarbeit, 2021 mehr…
  • Iulia-Otilia Mustea: Quantum dynamics simulations with GPU support. Masterarbeit, 2021 mehr…
  • Jan Watter: Light Microscopy Image Analysis using Neural Networks. Masterarbeit, 2021 mehr…
  • Johanna Franziska Schinabeck: Classification of Ising Phases for the Purpose of Transfer Learning Using Neural Networks. Bachelorarbeit, 2021 mehr…
  • Lisa Scheller: Dual Unitary Gates for Digital Quantum Circuits. Masterarbeit, 2021 mehr…
  • Lorenzo Brazzi: Linear Cryptanalysis on Quantum Systems. Bachelorarbeit, 2021 mehr…
  • Ludwig Dickmanns: Pose Estimation and Analysis for American Football Videos. Masterarbeit, 2021 mehr…
  • Michael Plainer: Transport of Discontinuous Densities with Artificial Neural Networks. Bachelorarbeit, 2021 mehr…
  • Philipp Seitz: Simulation of Quantum Circuits with Tree Tensor Networks. Masterarbeit, 2021 mehr…
  • Raúl Berganza Gómez: High-resolution quantum GANs: Technical advancements and use case in energy economics. Masterarbeit, 2021 mehr…
  • Richard M. Milbradt: Dual-, Ternary- and (∆ + 1)-Unitaries. Masterarbeit, 2021 mehr…
  • Ruben Pfeiffer: Solving Matching Problems with Quantum Annealing. Bachelorarbeit, 2021 mehr…
  • Ryan Novak: Transfer Learning in the Context of Quantum Dynamics Simulations. Masterarbeit, 2021 mehr…
  • Sreejit Dutta: Quantum Generative Models. Studienarbeit, 2021 mehr…
  • Tim Waegemans: Adversarial Attacks on Gaussian Processes. , 2021 mehr…
  • Veselina Vazova: Scalable Manifold Learning through Landmark Diffusion. Bachelorarbeit, 2021 mehr…
  • Wiktor Jurasz: Quantum and Classical Generative Modeling for Quantum States Preparation. Masterarbeit, 2021 mehr…

2020

  • Ananya Misra: Gaussian processes landmarking on manifolds for image classification. Masterarbeit, 2020 mehr…
  • Martin Knudsen: Neural Networks on Continuous-Variable Quantum Computers. Masterarbeit, 2020 mehr…
  • Martin Meinel: Efficient Implementation of Deep Convolutional Gaussian Processes. Masterarbeit, 2020 mehr…