Christian Tutschku
YOU?
Author Swipe
View article: Resource-efficient Variational Compilation of Block-Encodings
Resource-efficient Variational Compilation of Block-Encodings Open
Block-encoding operators are one of the essential components in quantum algorithms based on Quantum Signal Processing. Their gate complexity largely determines the overall gate complexity of the full algorithm. Using variational methods, w…
View article: Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors Open
Whether in fundamental physics, cybersecurity or finance, the detection of anomalies with machine learning techniques is a highly relevant and active field of research, as it potentially accelerates the discovery of novel physics or crimin…
View article: Training robust and generalizable quantum models
Training robust and generalizable quantum models Open
Adversarial robustness and generalization are both crucial properties of reliable machine learning models. In this paper, we study these properties in the context of quantum machine learning based on Lipschitz bounds. We derive parameter-d…
View article: Quantum Annealing based Feature Selection in Machine Learning
Quantum Annealing based Feature Selection in Machine Learning Open
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning (ML) models. This work investigates the utility of quantum annealing for the feature selection process in an ML-pipeline, used for maximizing the mu…
View article: Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images Open
We compare the performance of randomized classical and quantum neural networks (NNs) as well as classical and quantum-classical hybrid convolutional neural networks (CNNs) for the task of supervised binary image classification. We keep the…
View article: Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors
Unsupervised Quantum Anomaly Detection on Noisy Quantum Processors Open
Whether in fundamental physics, cybersecurity or finance, the detection of anomalies with machine learning techniques is a highly relevant and active field of research, as it potentially accelerates the discovery of novel physics or crimin…
View article: Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications
Evaluating Quantum Support Vector Regression Methods for Price Forecasting Applications Open
376
View article: Training robust and generalizable quantum models
Training robust and generalizable quantum models Open
Adversarial robustness and generalization are both crucial properties of reliable machine learning models. In this paper, we study these properties in the context of quantum machine learning based on Lipschitz bounds. We derive parameter-d…
View article: Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms Open
This work describes the selection approach and analysis of existing AutoML frameworks regarding their capability of a) incorporating Quantum Machine Learning (QML) algorithms into this automated solving approach of the AutoML framing and b…
View article: Benchmarking Automated Machine Learning Methods for Price Forecasting Applications
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications Open
Price forecasting for used construction equipment is a challenging task due to spatial and temporal price fluctuations. It is thus of high interest to automate the forecasting process based on current market data. Even though applying mach…
View article: Benchmarking Automated Machine Learning Methods for Price Forecasting Applications
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications Open
30
View article: Hall viscosity and hydrodynamic inverse Nernst effect in graphene
Hall viscosity and hydrodynamic inverse Nernst effect in graphene Open
Motivated by Hall viscosity measurements in graphene sheets, we study hydrodynamic transport of electrons in a channel of finite width in external electric and magnetic fields. We consider electric charge densities varying from close to th…
View article: Interplay of band geometry and topology in ideal Chern insulators in the presence of external electromagnetic fields
Interplay of band geometry and topology in ideal Chern insulators in the presence of external electromagnetic fields Open
Ideal Chern insulating phases arise in two-dimensional systems with broken time-reversal symmetry. They are characterized by having nearly flat bands, and a uniform quantum geometry-which combines the Berry curvature and quantum metric-and…
View article: Interplay of Band Geometry and Topology in Ideal Chern Insulators in Presence of External Electromagnetic Fields
Interplay of Band Geometry and Topology in Ideal Chern Insulators in Presence of External Electromagnetic Fields Open
Ideal Chern insulating phases arise in two-dimensional systems with broken time-reversal symmetry. They are characterized by having nearly-flat bands, and a uniform quantum geometry -- which combines the Berry curvature and quantum metric …
View article: Anomaly Induced Transport And Hall Viscous Effects In 2+1 Space-Time Dimensions
Anomaly Induced Transport And Hall Viscous Effects In 2+1 Space-Time Dimensions Open
The main goal of this thesis is to elucidate the sense in which recent experimental progress in condensed matter physics, namely the verification of two-dimensional Dirac-like materials and their control in ballistic- as well as hydrodynam…
View article: Temperature and chemical potential dependence of the parity anomaly in quantum anomalous Hall insulators
Temperature and chemical potential dependence of the parity anomaly in quantum anomalous Hall insulators Open
The low-energy physics of two-dimensional Quantum Anomalous Hall insulators\nlike (Hg,Mn)Te quantum wells or magnetically doped (Bi,Sb)Te thin films can be\neffectively described by two Chern insulators, including a Dirac, as well as a\nmo…
View article: Majorana-based quantum computing in nanowire devices
Majorana-based quantum computing in nanowire devices Open
The boundary of topological superconductors might lead to the appearance of\nMajorana edge modes, whose non-trivial exchange statistics can be used for\ntopological quantum computing. In branched nanowire networks one can exchange\nMajoran…
View article: Fate of quantum anomalous Hall effect in the presence of external magnetic fields and particle-hole asymmetry
Fate of quantum anomalous Hall effect in the presence of external magnetic fields and particle-hole asymmetry Open
The quantum anomalous Hall (QAH) effect, a condensed matter analog of the\nparity anomaly, is characterized by a quantized Hall conductivity in the\nabsence of an external magnetic field. However, it has been recently shown\nthat, even in …
View article: Functional dependence of Hall viscosity induced transverse voltage in two-dimensional Fermi liquids
Functional dependence of Hall viscosity induced transverse voltage in two-dimensional Fermi liquids Open
The breaking of parity and time-reversal symmetry in two-dimensional Fermi\nliquids gives rise to non-dissipative transport features characterized by the\nHall viscosity. In magnetic fields, the Hall viscous force directly competes\nwith t…
View article: Survival of the Quantum Anomalous Hall Effect in Orbital Magnetic Fields as a Consequence of the Parity Anomaly
Survival of the Quantum Anomalous Hall Effect in Orbital Magnetic Fields as a Consequence of the Parity Anomaly Open
Recent experimental progress in condensed matter physics enables the observation of signatures of the parity anomaly in two-dimensional Dirac-like materials. Using effective field theories and analyzing band structures in external out-of-p…
View article: Hall viscosity induced transverse voltage in two-dimensional Fermi liquids
Hall viscosity induced transverse voltage in two-dimensional Fermi liquids Open
The breaking of parity and time-reversal symmetry in two-dimensional Fermi liquids gives rise to non-dissipative transport features characterized by the Hall viscosity. In magnetic fields, the Hall viscous force directly competes with the …